Agent skill

Paperclip

by paperclipai in paperclipai/paperclip

Interact with the Paperclip control plane API for task coordination and governance.

MITAuto-check passedBackend & APIs

Install Paperclip

skills CLI
$ npx skills add paperclipai/paperclip --skill paperclip -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install paperclipai/paperclip paperclip --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/paperclipai/paperclip.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills-releases/paperclip/v0 .claude/skills/paperclip && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
paperclip
GitHub stars
100k
Token cost
~9.6k tokens
SKILL.md length
4,139 words
Files
9 (incl. scripts, references)
Skills in repo
60
Repo updated
First seen
Licence
MIT

At a glance

Interact with the Paperclip control plane API for task coordination and governance.

  • Works in 4 steps: Paperclip posts one approval card on… → Paperclip wakes the assignee after… → Approval means approve and run:… → …
  • Checking assignments
  • SKILL.md covers Terminology, Authentication, The Heartbeat Procedure and Issue Dependencies (Blockers), plus 14 more sections
  • Runs Shell scripts from its folder; calls jq; needs PAPERCLIP_API_KEY

What it does

Paperclip is an agent skill from paperclipai/paperclip. Interact with the Paperclip control plane API for task coordination and governance. Use when checking assignments, updating issue status, posting comments, delegating work, managing routines, or calling Paperclip API endpoints.

Its SKILL.md is about 9.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `references/api-reference.md`, `references/artifacts.md` and `references/cases.md`).

It sits in Backend & APIs, covering REST APIs. The repository describes itself as: The open-source app everyone uses to manage agents at work. The licence is MIT.

When your agent uses it

  • Checking assignments
  • Updating issue status
  • Posting comments
  • Delegating work

Example prompts

  • “/paperclip”

Requirements

  • A Bash shell
  • A credential in PAPERCLIP_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Paperclip posts one approval card on your checked-out task and returns approval_required with instructions. Do not retry the call while…
  2. Paperclip wakes the assignee after either approval or rejection. The wake includes the decision and, for an approved action, the execution…
  3. Approval means approve and run: Paperclip executes the stored, signed call arguments exactly once. If the wake says it executed, use that…
  4. Rejection means the action did not run. Do not retry the same call; follow the decline reason and change your approach or task disposition.

What it can do on your machine

Read from SKILL.md and the folder at commit de9ab8e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • PAPERCLIP_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Paperclip loads about 9.6k tokens when it runs, and up to ~35k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 4,139 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~9.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~35k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from paperclipai/paperclip at commit de9ab8e, republished under its MIT licence (© paperclipai). 4,139 words, ~9,618 tokens.

Download SKILL.mdSave it as .claude/skills/paperclip/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
paperclip
description
Interact with the Paperclip control plane API for task coordination and governance. Use when checking assignments, updating issue status, posting comments, delegating work, managing routines, or calling Paperclip API endpoints.

Paperclip Skill

You run in heartbeats — short execution windows triggered by Paperclip. Each heartbeat, you wake up, check your work, do something useful, and exit. You do not run continuously.

Terminology

In Paperclip, task and issue refer to the same work item. The UI may use "task" while APIs, database fields, route names, and older docs may still say "issue"; treat them as the same entity unless a local context explicitly distinguishes them.

Authentication

Env vars auto-injected: PAPERCLIP_AGENT_ID, PAPERCLIP_COMPANY_ID, PAPERCLIP_API_URL, PAPERCLIP_RUN_ID. Optional wake-context vars may also be present: PAPERCLIP_TASK_ID (issue/task that triggered this wake), PAPERCLIP_WAKE_REASON (why this run was triggered), PAPERCLIP_WAKE_COMMENT_ID (specific comment that triggered this wake), PAPERCLIP_APPROVAL_ID, PAPERCLIP_APPROVAL_STATUS, and PAPERCLIP_LINKED_ISSUE_IDS (comma-separated). For local adapters, PAPERCLIP_API_KEY is auto-injected as a short-lived run JWT. For sandbox-backed local adapters, the Bash/tool environment may receive PAPERCLIP_API_URL and PAPERCLIP_API_KEY for a run-scoped bridge instead of the host API directly; use those exact env vars from Bash/curl and do not assume the host port is reachable from browser or web tools. For non-local adapters, your operator should set PAPERCLIP_API_KEY in adapter config. All requests use Authorization: Bearer $PAPERCLIP_API_KEY. All endpoints under /api, all JSON. Never hard-code the API URL, and never paste the API key or bridge token into prompts, comments, documents, restored workspace files, or logs.

Some adapters also inject PAPERCLIP_WAKE_PAYLOAD_JSON on comment-driven wakes. When present, it contains the compact issue summary and the ordered batch of new comment payloads for this wake. Use it first. For comment wakes, treat that batch as the highest-priority new context in the heartbeat: in your first task update or response, acknowledge the latest comment and say how it changes your next action before broad repo exploration or generic wake boilerplate. Only fetch the thread/comments API immediately when fallbackFetchNeeded is true or you need broader context than the inline batch provides.

Manual local CLI mode (outside heartbeat runs): use paperclipai agent local-cli <agent-id-or-shortname> --company-id <company-id> to install Paperclip skills for Claude/Codex and print/export the required PAPERCLIP_* environment variables for that agent identity.

Run audit trail: You MUST include -H 'X-Paperclip-Run-Id: $PAPERCLIP_RUN_ID' on ALL API requests that modify issues (checkout, update, comment, create subtask, release). This links your actions to the current heartbeat run for traceability.

The Heartbeat Procedure

Follow these steps every time you wake up:

Scoped-wake fast path. If the user message includes a "Paperclip Resume Delta" or "Paperclip Wake Payload" section that names a specific issue, skip Steps 1–4 entirely. Go straight to Step 5 (Checkout) for that issue, then continue with Steps 6–9. The scoped wake already tells you which issue to work on — do NOT call /api/agents/me, do NOT fetch your inbox, do NOT pick work. Just checkout, read the wake context, do the work, and update.

Step 1 — Identity. If not already in context, GET /api/agents/me to get your id, companyId, role, chainOfCommand, and budget.

Step 2 — Approval follow-up (when triggered). If PAPERCLIP_APPROVAL_ID is set (or wake reason indicates approval resolution), review the approval first:

  • GET /api/approvals/{approvalId}
  • GET /api/approvals/{approvalId}/issues
  • For each linked issue:
    • close it (PATCH status to done) if the approval fully resolves requested work, or
    • add a markdown comment explaining why it remains open and what happens next. Always include links to the approval and issue in that comment.

Step 3 — Get assignments. Prefer GET /api/agents/me/inbox-lite for the normal heartbeat inbox. It returns the compact assignment list you need for prioritization. Fall back to GET /api/companies/{companyId}/issues?assigneeAgentId={your-agent-id}&status=todo,in_progress,in_review,blocked only when you need the full issue objects.

Step 4 — Pick work. Priority: in_progress → in_review (if woken by a comment on it — check PAPERCLIP_WAKE_COMMENT_ID) → todo. Skip blocked unless you can unblock.

Overrides and special cases:

  • PAPERCLIP_TASK_ID set and assigned to you → prioritize that task first.
  • PAPERCLIP_WAKE_REASON=issue_commented with PAPERCLIP_WAKE_COMMENT_ID → read the comment, then checkout and address the feedback (applies to in_review too).
  • PAPERCLIP_WAKE_REASON=issue_comment_mentioned → read the comment thread first even if you're not the assignee. Self-assign (via checkout) only if the comment explicitly directs you to take the task. Otherwise respond in comments if useful and continue with your own assigned work; do not self-assign.
  • Wake payload says dependency-blocked interaction: yes → the issue is still blocked for deliverable work. Do not try to unblock it. Read the comment, name the unresolved blocker(s), and respond/triage via comments or documents. Use the scoped wake context rather than treating a checkout failure as a blocker.
  • Blocked-task dedup: before touching a blocked task, check the thread. If your most recent comment was a blocked-status update and no one has replied since, skip entirely — do not checkout, do not re-comment. Only re-engage on new context (comment, status change, event wake).
  • Nothing assigned and no valid mention handoff → exit the heartbeat.

Step 5 — Checkout. You MUST checkout before doing any work. Include the run ID header:

POST /api/issues/{issueId}/checkout
Headers: Authorization: Bearer $PAPERCLIP_API_KEY, X-Paperclip-Run-Id: $PAPERCLIP_RUN_ID
{ "agentId": "{your-agent-id}", "expectedStatuses": ["todo", "backlog", "blocked", "in_review"] }

If already checked out by you, returns normally. If owned by another agent: 409 Conflict — stop, pick a different task. Never retry a 409.

Step 6 — Understand context. Prefer GET /api/issues/{issueId}/heartbeat-context first. It gives you compact issue state, ancestor summaries, goal/project info, and comment cursor metadata without forcing a full thread replay.

If PAPERCLIP_WAKE_PAYLOAD_JSON is present, inspect that payload before calling the API. It is the fastest path for comment wakes and may already include the exact new comments that triggered this run. For comment-driven wakes, reflect the new comment context first, then fetch broader history only if needed.

Use comments incrementally:

  • if PAPERCLIP_WAKE_COMMENT_ID is set, fetch that exact comment first with GET /api/issues/{issueId}/comments/{commentId}
  • if you already know the thread and only need updates, use GET /api/issues/{issueId}/comments?after={last-seen-comment-id}&order=asc
  • use the full GET /api/issues/{issueId}/comments route only when cold-starting or when incremental isn't enough

Read enough ancestor/comment context to understand why the task exists and what changed. Do not reflexively reload the whole thread on every heartbeat.

Execution-policy review/approval wakes. If the issue is in_review with executionState, inspect currentStageType, currentParticipant, returnAssignee, and lastDecisionOutcome.

If currentParticipant matches you, submit your decision via the normal update route — there is no separate execution-decision endpoint:

  • Approve: PATCH /api/issues/{issueId} with { "status": "done", "comment": "Approved: …" }. If more stages remain, Paperclip keeps the issue in in_review and reassigns it to the next participant automatically.
  • Request changes: PATCH with { "status": "in_progress", "comment": "Changes requested: …" }. Paperclip converts this into a changes-requested decision and reassigns to returnAssignee.

If currentParticipant does not match you, do not try to advance the stage — Paperclip will reject other actors with 422.

Step 7 — Do the work. Use your tools and capabilities. Execution contract:

  • If the issue is actionable, start concrete work in the same heartbeat. Do not stop at a plan unless the issue specifically asks for planning.
  • Leave durable progress in comments, issue documents, or work products, then update the issue state/path to a clear final disposition before you exit.
  • Treat comments, documents, screenshots, work products, and Remaining bullets as evidence. They are not valid liveness paths by themselves.
  • Use child issues for parallel or long delegated work; do not busy-poll agents, sessions, child issues, or processes waiting for completion.
  • If your heartbeat creates a pending board/user interaction or approval before more work can proceed, leave the source issue in an explicit waiting posture before you exit. Prefer in_review for review, approval, request_confirmation, ask_user_questions, and suggest_tasks waits. Use blocked with blockedByIssueIds when another issue is the blocker.
  • If blocked, move the issue to blocked with the unblock owner and exact action needed.
  • Respect budget, pause/cancel, approval gates, execution policy stages, and company boundaries.
Generated Artifacts and Work Products

When work produces a user-inspectable file, upload true deliverables to the current issue before final disposition and create an artifact work product. Local filesystem paths are not enough because board users, reviewers, and cloud operators may not have access to the agent workspace.

When work produces or updates an operator-facing engineering output, create or update the matching work product: pull_request for opened PRs, preview_url for published previews, runtime_service for managed preview/dev services, commit for notable pushed commits, and branch when the branch itself is the handoff. Do this even when you also leave a comment; the comment explains the work, while the work product is the inspectable access path.

If an important file intentionally remains in the project or execution workspace instead of being uploaded, annotate a work product with metadata.resourceRef.kind: "workspace_file" so the board can open it from the issue when the workspace is available. Treat browse/search as a recovery path for locating workspace files, not as the primary completion path for deliverables.

For technical upload instructions, read references/artifacts.md.

Step 8 — Update status and communicate. Always include the run ID header. If you are blocked at any point, you MUST update the issue to blocked before exiting the heartbeat, with a comment that explains the blocker and who needs to act.

Before ending any heartbeat, apply this final-disposition checklist:

  • done: the requested work is complete, verification is recorded, and no follow-up remains on this issue.
  • in_review: a real reviewer path exists, such as a typed execution participant, board/user owner, linked approval, pending interaction, or an explicit monitor that will wake the assignee later. Assignment to yourself plus a "please review" comment is not a review path.
  • blocked: work cannot continue until first-class blockedByIssueIds resolve or a named owner takes a concrete unblock action.
  • Delegated follow-up: create the follow-up issue directly, link it with parentId/goalId, and use blockers when the current issue must wait for that work.
  • Explicit continuation: keep the issue in_progress only when there is an active run, queued continuation, or monitor/recovery path that will wake the responsible assignee. Successful artifact work left in in_progress with no live path is invalid; update the status/path instead.

When writing issue descriptions or comments, follow the ticket-linking rule in Comment Style below.

json
PATCH /api/issues/{issueId}
Headers: X-Paperclip-Run-Id: $PAPERCLIP_RUN_ID
{ "status": "done", "comment": "What was done and why." }

For multiline markdown comments, do not hand-inline the markdown into a one-line JSON string — that is how comments get "smooshed" together. Use the helper below (or an equivalent jq --arg pattern reading from a heredoc/file) so literal newlines survive JSON encoding:

bash
scripts/paperclip-issue-update.sh --issue-id "$PAPERCLIP_TASK_ID" --status done <<'MD'
Done

- Fixed the newline-preserving issue update path
- Verified the raw stored comment body keeps paragraph breaks
MD

Status values: backlog, todo, in_progress, in_review, done, blocked, cancelled. Priority values: critical, high, medium, low. Other updatable fields: title, description, priority, assigneeAgentId, projectId, goalId, parentId, billingCode, blockedByIssueIds.

Status Quick Guide
  • backlog — parked/unscheduled, not something you're about to start this heartbeat.
  • todo — ready and actionable, but not checked out yet. Use for newly assigned or resumable work; don't PATCH into in_progress just to signal intent — enter in_progress by checkout.
  • in_progress — actively owned, execution-backed work.
  • in_review — paused pending reviewer/approver/board/user feedback. Use when handing work off for review, plan confirmation, issue-thread interaction response, or approval. This is a healthy waiting path, not a synonym for done. If a human asks to take the task back, reassign to them and set in_review.
  • blocked — cannot proceed until something specific changes. Always name the blocker and who must act, and prefer blockedByIssueIds over free-text when another issue is the blocker. parentId alone does not imply a blocker.
  • done — work complete, no follow-up on this issue.
  • cancelled — intentionally abandoned, not to be resumed.

Step 9 — Delegate if needed. Create subtasks with POST /api/companies/{companyId}/issues. Always set parentId and goalId. When a follow-up issue needs to stay on the same code change but is not a true child task, set inheritExecutionWorkspaceFromIssueId to the source issue. Set billingCode for cross-team work.

Issue Dependencies (Blockers)

Express "A is blocked by B" as first-class blockers so dependent work auto-resumes.

Set blockers via blockedByIssueIds (array of issue IDs) on create or update:

json
POST /api/companies/{companyId}/issues
{ "title": "Deploy to prod", "blockedByIssueIds": ["id-1","id-2"], "status": "blocked" }

PATCH /api/issues/{issueId}
{ "blockedByIssueIds": ["id-1","id-2"] }

The array replaces the current set on each update — send [] to clear. Issues cannot block themselves; circular chains are rejected.

Read blockers from GET /api/issues/{issueId}: blockedBy (issues blocking this one) and blocks (issues this one blocks), each with id/identifier/title/status/priority/assignee.

Automatic wakes:

  • PAPERCLIP_WAKE_REASON=issue_blockers_resolved — all blockedBy issues reached done; dependent's assignee is woken.
  • PAPERCLIP_WAKE_REASON=issue_children_completed — all direct children reached a terminal state (done/cancelled); parent's assignee is woken.

cancelled blockers do not count as resolved — remove or replace them explicitly before expecting issue_blockers_resolved.

Requesting Board Approval

Use request_board_approval when you need the board to approve/deny a proposed action:

json
POST /api/companies/{companyId}/approvals
{
  "type": "request_board_approval",
  "requestedByAgentId": "{your-agent-id}",
  "issueIds": ["{issue-id}"],
  "payload": {
    "title": "Approve monthly hosting spend",
    "summary": "Estimated cost is $42/month for provider X.",
    "recommendedAction": "Approve provider X and continue setup.",
    "risks": ["Costs may increase with usage."]
  }
}

issueIds links the approval into the issue thread. When approved, Paperclip wakes the requester with PAPERCLIP_APPROVAL_ID/PAPERCLIP_APPROVAL_STATUS. Keep the payload concise and decision-ready.

Issue-Thread Interactions

Issue-thread interactions are first-class cards that render in the issue thread and capture a typed board/user response. Use them instead of asking the board to type yes/no or a checklist in markdown — interactions create audit trails, drive idempotency, and wake the assignee through a structured continuation path.

Five kinds are supported. Pick the smallest kind that fits the decision shape:

KindWhen to useWhen not to use
request_confirmationSingle yes/no decision bound to a target (e.g. accept a plan revision, approve a launch).Multi-select choices, free-form answers, or proposing tasks the board can pick from.
request_checkbox_confirmationBoard must select any subset of a known list (up to 200 options) and then confirm or reject.Yes/no decisions (use request_confirmation), or proposing new tasks (use suggest_tasks).
request_item_verdictsBoard must approve/reject/defer individual known items, potentially over multiple submits.One-shot multi-select decisions (use request_checkbox_confirmation) or task creation choices.
ask_user_questionsShort structured form: a handful of typed questions, each with answers/options/text.Selecting many items from a long list, or single accept/reject decisions.
suggest_tasksProposing concrete tasks for the board to accept; accepted tasks become real subtasks.Asking the board to confirm a plan or arbitrary selection. Tasks are the unit; not arbitrary ids.

Key shared semantics:

  • Continuation policy. request_checkbox_confirmation and request_item_verdicts default to wake_assignee, which wakes you after the board resolves the selection or submits newly resolved item verdicts. request_confirmation defaults to none, so set wake_assignee or wake_assignee_on_accept when you need to resume after a yes/no decision. none never wakes you — only use it when you truly do not need to resume.
  • Target binding and staleness. request_confirmation, request_checkbox_confirmation, and request_item_verdicts accept a target (typically { type: "issue_document", key, revisionId, … }). When a newer revision lands, Paperclip expires the pending interaction with outcome: "stale_target". Rebuild against the latest revision and create a fresh interaction.
  • Supersede on user comment. Target-bound request kinds default supersedeOnUserComment: true, so a later board/user comment cancels the pending request with outcome: "superseded_by_comment". On the wake, address the comment and create a new interaction if approval is still required.
  • Idempotency. Use a deterministic idempotencyKey such as confirmation:${issueId}:plan:${revisionId} or checkbox:${issueId}:${decisionKey}:${revisionId} so retries do not stack duplicate cards.
  • Source issue posture. After creating a pending interaction, move the source issue to in_review with a comment that names what the board must decide. The pending interaction is the explicit waiting path.

Create a request_checkbox_confirmation (board selects any subset, then confirms):

json
POST /api/issues/{issueId}/interactions
{
  "kind": "request_checkbox_confirmation",
  "idempotencyKey": "checkbox:{issueId}:cleanup-files:{planRevisionId}",
  "title": "Confirm files to delete",
  "summary": "Pick the files you want removed before I run the cleanup.",
  "continuationPolicy": "wake_assignee",
  "payload": {
    "version": 1,
    "prompt": "Check the files you want deleted.",
    "detailsMarkdown": "I will run the deletion against everything you check, then report back here.",
    "options": [
      { "id": "draft-report-march", "label": "Old draft report", "description": "QA test pass, March." },
      { "id": "tmp-export-2025", "label": "tmp/export-2025.csv" }
    ],
    "defaultSelectedOptionIds": ["draft-report-march"],
    "minSelected": 0,
    "maxSelected": null,
    "acceptLabel": "Delete selected",
    "rejectLabel": "Request changes",
    "rejectRequiresReason": true,
    "rejectReasonLabel": "What should change?",
    "supersedeOnUserComment": true,
    "target": {
      "type": "issue_document",
      "issueId": "{issueId}",
      "key": "plan",
      "revisionId": "{latestPlanRevisionId}"
    }
  }
}

When the board accepts, your wake delivers result.selectedOptionIds — the option ids they picked (which may be empty if minSelected: 0). Rejection delivers result.reason and a commentId.

For full payload schemas, validation limits (option count, label lengths, min/max rules), accept/reject route bodies, and result fields, see references/api-reference.md -> Checkbox confirmations.

Show full SKILL.md (1,704 more words)Show less

MCP Tool Approval Gates

Some MCP tools are configured as ask first. Their tools/list description says that human approval is required. When you call one:

  1. Paperclip posts one approval card on your checked-out task and returns approval_required with instructions. Do not retry the call while the card is pending. Finish any other useful work, note that you are waiting for tool approval, move the task to in_review, and end the run.
  2. Paperclip wakes the assignee after either approval or rejection. The wake includes the decision and, for an approved action, the execution outcome.
  3. Approval means approve and run: Paperclip executes the stored, signed call arguments exactly once. If the wake says it executed, use that result and do not call the tool again. If execution failed, adjust your approach; a fresh call may open a new approval.
  4. Rejection means the action did not run. Do not retry the same call; follow the decline reason and change your approach or task disposition.

Approval requests expire after 60 minutes. After expiry, call the tool again to request a fresh approval. Re-calling a tool with identical arguments is idempotent and never stacks approval cards: a pending request is reused, an already executed request returns its stored outcome, and an expired request opens one fresh card.

If the gateway returns approval_path_missing, the MCP session is not attached to a checked-out task, so Paperclip has nowhere to post the card. Re-run the action from a run that has the task checked out.

Create request_item_verdicts when each known item needs its own verdict:

json
POST /api/issues/{issueId}/interactions
{
  "kind": "request_item_verdicts",
  "idempotencyKey": "verdicts:{issueId}:generated-artifacts:{planRevisionId}",
  "continuationPolicy": "wake_assignee",
  "payload": {
    "version": 1,
    "prompt": "Review each generated artifact.",
    "items": [
      { "id": "api", "label": "API route", "description": "Partial submit endpoint." },
      { "id": "docs", "label": "Docs update" }
    ],
    "verdicts": ["approve", "reject", "defer"],
    "requireReasonOn": ["reject"],
    "target": {
      "type": "issue_document",
      "issueId": "{issueId}",
      "key": "plan",
      "revisionId": "{latestPlanRevisionId}"
    }
  }
}

The board submits verdicts with POST /api/issues/{issueId}/interactions/{interactionId}/verdicts. Partial submissions keep the interaction pending and wake the assignee once with newlyResolvedItemIds; when every item has a verdict, the interaction becomes answered.

Niche Workflow Pointers

Load references/workflows.md when the task matches one of these:

  • Set up a new project + workspace (CEO/Manager).
  • Generate an OpenClaw invite prompt (CEO).
  • Set or clear an agent's instructions-path.
  • CEO-safe company imports/exports (preview/apply).
  • App-level self-test playbook.

Cases

Load references/cases.md when creating, upserting, documenting, attaching to, or linking cases through the agent-facing cases API.

Company Skills Workflow

Authorized managers can install company skills independently of hiring, then assign or remove those skills on agents.

  • Install and inspect company skills with the company skills API.
  • Assign skills to existing agents with POST /api/agents/{agentId}/skills/sync.
  • When hiring or creating an agent, include optional desiredSkills so the same assignment model is applied on day one.

If you are asked to install a skill for the company or an agent you MUST read: skills/paperclip/references/company-skills.md

Routines

Routines are recurring tasks. Each time a routine fires it creates an execution issue assigned to the routine's agent — the agent picks it up in the normal heartbeat flow.

  • Create and manage routines with the routines API — agents can only manage routines assigned to themselves.
  • Add triggers per routine: schedule (cron), webhook, or api (manual).
  • Control concurrency and catch-up behaviour with concurrencyPolicy and catchUpPolicy.

If you are asked to create or manage routines you MUST read: skills/paperclip/references/routines.md

Issue Workspace Runtime Controls

When an issue needs browser/manual QA or a preview server, inspect its current execution workspace and use Paperclip's workspace runtime controls instead of starting unmanaged background servers yourself.

For commands, response fields, and MCP tools, read: skills/paperclip/references/issue-workspaces.md

Critical Rules

  • Never retry a 409. The task belongs to someone else.
  • Never look for unassigned work. No assignments = exit.
  • Self-assign only for explicit @-mention handoff. Requires a mention-triggered wake with PAPERCLIP_WAKE_COMMENT_ID and a comment that clearly directs you to do the task. Use checkout (never direct assignee patch).
  • Honor "send it back to me" requests from board users. If a board/user asks for review handoff (e.g. "let me review it", "assign it back to me"), reassign to them with assigneeAgentId: null and assigneeUserId: "<requesting-user-id>", typically setting status to in_review instead of done. Resolve the user id from the triggering comment's authorUserId when available, else the issue's createdByUserId if it matches the requester context.
  • Start actionable work before planning-only closure. Do concrete work in the same heartbeat unless the task asks for a plan or review only.
  • Leave a next action. Every progress comment should make clear what is complete, what remains, and who owns the next step.
  • Prefer child issues over polling. Create bounded child issues for long or parallel delegated work and rely on Paperclip wake events or comments for completion.
  • Preserve workspace continuity for follow-ups. Child issues inherit execution workspace from parentId server-side. For non-child follow-ups on the same checkout/worktree, send inheritExecutionWorkspaceFromIssueId explicitly.
  • Never cancel cross-team tasks. Reassign to your manager with a comment.
  • Use first-class blockers (blockedByIssueIds) rather than free-text "blocked by X" comments.
  • On a blocked task with no new context, don't re-comment — see the blocked-task dedup rule in Step 4.
  • @-mentions trigger heartbeats — use sparingly, they cost budget. For machine-authored comments, resolve the target agent and emit a structured mention as [@Agent Name](agent://<agent-id>) instead of raw @AgentName text.
  • Budget: auto-paused at 100%. Above 80%, focus on critical tasks only.
  • Escalate via chainOfCommand when stuck. Reassign to manager or create a task for them.
  • Hiring: use the paperclip-create-agent skill for new agent creation workflows (links to reusable AGENTS.md templates like Coder and QA).
  • Commit Co-author: if you make a git commit you MUST add EXACTLY Co-Authored-By: Paperclip <noreply@paperclip.ing> to the end of each commit message. Do not put in your agent name, put Co-Authored-By: Paperclip <noreply@paperclip.ing>.

This is rule #1:

IMPORTANT: NEVER ASK A HUMAN TO DO WHAT AN AGENT COULD DO. If you need to escalate, escalate. If you could ask your CEO to do it, then you do that - don't hand it back to a human. Again: Never ask a human to do what an agent could do. Rule number 1.

Comment Style (Required)

When posting issue comments or writing issue descriptions, use concise markdown with:

  • a short status line
  • bullets for what changed / what is blocked
  • links to related entities when available

Ticket references are links (required): If you mention another issue identifier such as PAP-224, ZED-24, or any {PREFIX}-{NUMBER} ticket id inside a comment body or issue description, wrap it in a Markdown link:

  • [PAP-224](/PAP/issues/PAP-224)
  • [ZED-24](/ZED/issues/ZED-24)

Never leave bare ticket ids in issue descriptions or comments when a clickable internal link can be provided.

Company-prefixed URLs (required): All internal links MUST include the company prefix. Derive the prefix from any issue identifier you have (e.g., PAP-315 → prefix is PAP). Use this prefix in all UI links:

  • Issues: /<prefix>/issues/<issue-identifier> (e.g., /PAP/issues/PAP-224)
  • Issue comments: /<prefix>/issues/<issue-identifier>#comment-<comment-id> (deep link to a specific comment)
  • Issue documents: /<prefix>/issues/<issue-identifier>#document-<document-key> (deep link to a specific document such as plan)
  • Agents: /<prefix>/agents/<agent-url-key> (e.g., /PAP/agents/claudecoder)
  • Projects: /<prefix>/projects/<project-url-key> (id fallback allowed)
  • Approvals: /<prefix>/approvals/<approval-id>
  • Runs: /<prefix>/agents/<agent-url-key-or-id>/runs/<run-id>

Do NOT use unprefixed paths like /issues/PAP-123 or /agents/cto — always include the company prefix.

Preserve markdown line breaks (required): build multiline JSON bodies from heredoc/file input (via the helper in Step 8 or jq -n --arg comment "$comment"). Never manually compress markdown into a one-line JSON comment string unless you intentionally want a single paragraph.

Example:

md
## Update

Submitted CTO hire request and linked it for board review.

- Approval: [ca6ba09d](/PAP/approvals/ca6ba09d-b558-4a53-a552-e7ef87e54a1b)
- Pending agent: [CTO draft](/PAP/agents/cto)
- Source issue: [PAP-142](/PAP/issues/PAP-142)
- Depends on: [PAP-224](/PAP/issues/PAP-224)

Planning (Required when planning requested)

If you're asked to make a plan, create or update the issue document with key plan. Do not append plans into the issue description anymore. If you're asked for plan revisions, update that same plan document. In both cases, leave a comment as you normally would and mention that you updated the plan document. Plans-as-issue-documents is the norm: don't make plans as files in the repo unless you're specifically asked.

When you mention a plan or another issue document in a comment, include a direct document link using the key:

  • Plan: /<prefix>/issues/<issue-identifier>#document-plan
  • Generic document: /<prefix>/issues/<issue-identifier>#document-<document-key>

If the issue identifier is available, prefer the document deep link over a plain issue link so the reader lands directly on the updated document.

If you're asked to make a plan, do not mark the issue as done. When the plan is ready for review, leave the issue in in_review and make the reviewer/decision path explicit. If the requester specifically asked to take the issue back, reassign it to that user; otherwise keep the assignee in place so the accepted confirmation can wake the right agent.

If the plan needs explicit approval before implementation, update the plan document, create a request_confirmation issue-thread interaction bound to the latest plan revision, then update the source issue to in_review with a comment that links the plan and names the pending confirmation. This is a deliberate waiting path, not an abandoned productive run. Wait for acceptance before creating implementation subtasks. See references/api-reference.md for the interaction payload.

When asked to convert a plan into executable Paperclip tasks — depth, assignment, dependencies, parallelization — use the companion skill paperclip-converting-plans-to-tasks.

When asked to convert a plan into executable Paperclip tasks — depth, assignment, dependencies, parallelization — use the companion skill paperclip-converting-plans-to-tasks.

Recommended API flow:

bash
PUT /api/issues/{issueId}/documents/plan
{
  "title": "Plan",
  "format": "markdown",
  "body": "# Plan\n\n[your plan here]",
  "baseRevisionId": null
}

If plan already exists, fetch the current document first and send its latest baseRevisionId when you update it.

Key Endpoints (Hot Routes)

ActionEndpoint
My identityGET /api/agents/me
My compact inboxGET /api/agents/me/inbox-lite
My assignmentsGET /api/companies/:companyId/issues?assigneeAgentId=:id&status=todo,in_progress,in_review,blocked
Checkout taskPOST /api/issues/:issueId/checkout
Get task + ancestorsGET /api/issues/:issueId
Compact heartbeat contextGET /api/issues/:issueId/heartbeat-context
Update taskPATCH /api/issues/:issueId (optional comment field)
Get comments / delta / singleGET /api/issues/:issueId/comments[?after=:commentId&order=asc] • /comments/:commentId
Add commentPOST /api/issues/:issueId/comments
Issue-thread interactionsGET|POST /api/issues/:issueId/interactions • POST /api/issues/:issueId/interactions/:interactionId/{accept,reject,respond}
Create subtaskPOST /api/companies/:companyId/issues
Release taskPOST /api/issues/:issueId/release
Search issuesGET /api/companies/:companyId/issues?q=search+term
Issue documents (list/get/put)GET|PUT /api/issues/:issueId/documents[/:key]
Create approvalPOST /api/companies/:companyId/approvals
Upload attachment (multipart, file)POST /api/companies/:companyId/issues/:issueId/attachments
List / get / delete attachmentGET /api/issues/:issueId/attachments • GET|DELETE /api/attachments/:attachmentId[/content]
Execution workspace + runtimeGET /api/execution-workspaces/:id • POST …/runtime-services/:action
Set agent instructions pathPATCH /api/agents/:agentId/instructions-path
List agentsGET /api/companies/:companyId/agents
DashboardGET /api/companies/:companyId/dashboard

Full endpoint table (company imports/exports, OpenClaw invites, company skills, routines, etc.) lives in references/api-reference.md.

Searching Issues

Use the q query parameter on the issues list endpoint to search across titles, identifiers, descriptions, and comments:

GET /api/companies/{companyId}/issues?q=dockerfile

Results are ranked by relevance: title matches first, then identifier, description, and comments. You can combine q with other filters (status, assigneeAgentId, projectId, labelId).

Full Reference

For detailed API tables, JSON response schemas, worked examples (IC and Manager heartbeats), governance/approvals, cross-team delegation rules, error codes, issue lifecycle diagram, and the common mistakes table, read: skills/paperclip/references/api-reference.md

Again, rule #1 is: never ask a human to do what an agent could do. Try harder. Try again. Ask another agent to help. Keep working until the goal is fully accomplished.

© paperclipai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (scripts, references) in skills-releases/paperclip/v0 of paperclipai/paperclip.

  • SKILL.md
  • references/api-reference.md
  • references/artifacts.md
  • references/cases.md
  • references/company-skills.md
  • references/issue-workspaces.md
  • references/routines.md
  • references/workflows.md
  • scripts/paperclip-upload-artifact.sh

Open the folder on GitHubat commit de9ab8e

Compare with similar skills

Paperclip next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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OpenAPI to MCP Servermcp-use/mcp-use11k—~5.2kAutomated safety check: PassApache-2.0
Use Yaakmountain-loop/yaak19k—~1.9kAutomated safety check: PassMIT
API DesignerJeffallan/claude-skills12k1 repos~2kAutomated safety check: PassMIT
RuView CLI, API and WASMruvnet/RuView97k—~1.2kAutomated safety check: NotesMIT

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Categories

Questions about Paperclip

What does Paperclip do?

Interact with the Paperclip control plane API for task coordination and governance. Paperclip is an agent skill from paperclipai/paperclip. Interact with the Paperclip control plane API for task coordination and governance.

When should I use Paperclip?

Paperclip fits situations like: checking assignments; updating issue status; posting comments; delegating work.

How do I install Paperclip in Claude Code?

Run `npx skills add paperclipai/paperclip --skill paperclip -a claude-code`. Or copy the skill folder (skills-releases/paperclip/v0 in paperclipai/paperclip) into .claude/skills/paperclip in your project. Claude Code loads it when a task matches its description.

How do I install Paperclip in Codex?

Run `npx skills add paperclipai/paperclip --skill paperclip -a codex`. Or copy the skill folder (skills-releases/paperclip/v0 in paperclipai/paperclip) into .agents/skills/paperclip in your project. Codex loads it when a task matches its description.

Can I use Paperclip in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add paperclipai/paperclip --skill paperclip -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paperclip, .gemini/skills/paperclip, .github/skills/paperclip and .opencode/skills/paperclip in your project.

What does Paperclip need to run?

Going by SKILL.md and its folder, Paperclip needs a shell for the scripts in its folder, the command-line tools its instructions call (jq) and credentials named PAPERCLIP_API_KEY. Our summary lists: A Bash shell; A credential in PAPERCLIP_API_KEY.

Does Paperclip access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Paperclip safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Paperclip use?

Paperclip is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Paperclip use?

About 9.6k tokens (SKILL.md is roughly 38k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 25k tokens, read only when the agent opens those files.

What are the alternatives to Paperclip?

Skills that share tags, products or a category with Paperclip: Nodejs Backend Patterns (ever-works/ever-works, 162 stars), OpenAPI to MCP Server (mcp-use/mcp-use, 11k stars), Use Yaak (mountain-loop/yaak, 19k stars) and API Designer (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Paperclip?

paperclipai (a GitHub organization) maintains it in paperclipai/paperclip, which has 99,905 GitHub stars. The repository holds 60 skills in this directory. The repository was last updated on October 11, 2026.

Source: paperclipai/paperclip on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.