Agent skill

Bulk Task Completion

by jpicklyk in jpicklyk/task-orchestrator

Completes or cancels a whole feature subtree, a named list of items, or a batch of stale work items at once, previewing the impact and warning before force-completing anything active.

MITAuto-check passedAgent Workflows

Install Bulk Task Completion

skills CLI
$ npx skills add jpicklyk/task-orchestrator --skill batch-complete -a claude-code

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

GitHub CLI
$ gh skill install jpicklyk/task-orchestrator batch-complete --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/jpicklyk/task-orchestrator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/claude-plugins/task-orchestrator/skills/batch-complete .claude/skills/batch-complete && 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
batch-complete
GitHub stars
207
Token cost
~2.6k tokens
SKILL.md length
890 words
Files
1
Skills in repo
28
Repo updated
First seen
Licence
MIT

At a glance

Completes or cancels a whole feature subtree, a named list of items, or a batch of stale work items at once, previewing the impact and warning before force-completing anything active.

  • Works in 5 steps: Identify Scope → Preview Impact → Gate Check → …
  • Closing out every item under a finished feature in one operation
  • SKILL.md covers Step 1 — Identify Scope, Step 2 — Preview Impact, Step 3 — Gate Check and Step 4 — Execute, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

The skill first resolves what is in scope: a feature's full subtree found by searching for the named root item, an explicit list of item IDs the user named, or a cleanup sweep found by searching on status or a title fragment, falling back to asking the user directly when the scope cannot be determined from the request. Before executing anything, it previews the impact by fetching child-item counts grouped by role and showing a table labeled either will be completed or will be cancelled depending on which action was requested.

When any items in scope are already in active work or review, it warns that those will be force-completed or force-cancelled, with gate checks still applying, and asks the user to choose explicitly between proceeding with everything, skipping the active items, or stopping. The skill reports exactly what succeeded and what was skipped once the operation runs, rather than assuming every targeted item completed cleanly.

When your agent uses it

  • Closing out every item under a finished feature in one operation
  • Cancelling an abandoned workstream and its remaining items
  • Cleaning up a batch of stale or old work items at once

Example prompts

  • “Close out everything under the Auth System feature.”
  • “Cancel this workstream; it's been abandoned for weeks.”
  • “Clean up all the stale items older than a month in the backlog.”

Requirements

  • A connected task-orchestrator MCP server

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Identify Scope
  2. Preview Impact
  3. Gate Check
  4. Execute
  5. Cleanup (Optional)

What it can do on your machine

Read from SKILL.md and the folder at commit b688ea0. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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 no API keys, tokens, secrets or passwords.

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

Context cost

Bulk Task Completion loads about 2.6k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 890 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from jpicklyk/task-orchestrator at commit b688ea0, republished under its MIT licence (© jpicklyk). 890 words, ~2,625 tokens.

Download SKILL.mdSave it as .claude/skills/batch-complete/SKILL.md (or your agent's skills folder).
name
batch-complete
description
Completes or cancels multiple items at once — closes out features, cleans up old work, and archives completed workstreams. Use when a user says: close out this feature, complete everything under X, cancel this workstream, clean up old items, bulk complete, finish this feature, or archive completed work.
argument-hint
[optional: root item UUID or title to complete]

batch-complete — Bulk Complete or Cancel Items

Close out a feature subtree, cancel an abandoned workstream, or clean up stale items in one operation. Handles gate checks, active-item warnings, and reports exactly what succeeded and what was skipped.


Step 1 — Identify Scope

Resolve $ARGUMENTS to a UUID via query_items search (operation="search", query=$ARGUMENTS, limit=5); if ambiguous, present matches via AskUserQuestion.

If $ARGUMENTS is empty, classify the request from conversation context:

  • Feature subtree: user mentions completing "everything under" a named item → search for that item, use rootId
  • Specific items: user lists names or IDs → collect each UUID, use itemIds
  • Cleanup: user wants to clear old/stale items → search by status or title fragment, collect UUIDs, use itemIds

If scope still cannot be determined, ask via AskUserQuestion: "Which item (or items) do you want to complete? Provide a root UUID, a title fragment, or a list of item IDs."


Step 2 — Preview Impact

Before executing, show the user what will happen. Call:

query_items(operation="overview", itemId="<rootId>")

Parse the child counts by role and present a preview table. Use the trigger chosen (or likely to be chosen) to set the action label — trigger="complete" shows "will be completed"; trigger="cancel" shows "will be cancelled":

◆ Impact Preview — "Auth System Feature"  [trigger: complete]
  ○ queue:    3 items (will be completed)
  ◉ work:     1 item  (active — will be force-completed)
  ◉ review:   1 item  (active — will be force-completed)
  ✓ terminal: 2 items (already done — will be skipped)
◆ Impact Preview — "Auth System Feature"  [trigger: cancel]
  ○ queue:    3 items (will be cancelled)
  ◉ work:     1 item  (active — will be force-cancelled)
  ◉ review:   1 item  (active — will be force-cancelled)
  ✓ terminal: 2 items (already done — will be skipped)

For itemIds path (no root item): call query_items(operation="get", itemId="<uuid>") on each item and build the same role-grouped preview table from the individual results. For large lists (10+ items), use query_items(operation="search") with filters instead of individual get calls.

If any items are in work or review, warn the user that active work will be force-completed (gate checks still apply). Use AskUserQuestion with three options:

◆ 2 items are currently active (work or review).
  How would you like to proceed?
  1. Proceed — complete everything including active items
  2. Cancel active items instead — use trigger="cancel" (bypasses gates)
  3. Abort — leave everything as-is

Wait for the user's choice before continuing. Record whether to use trigger="complete" or trigger="cancel".


Step 3 — Gate Check

Skip this step if trigger="cancel" was already chosen in Step 2 — cancel bypasses all gates, so gate checking is unnecessary.

For trigger="complete", gate previewing is best-effort. complete_tree performs the definitive gate check during execution and reports any failures in its response. A lightweight pre-check is still useful to surface issues before committing — call get_context on each child from Step 2's results rather than on the root item (the root itself is not completed by complete_tree, only its descendants are):

get_context(itemId="<child-uuid>")   ← repeat for each child listed in Step 2

If any child's gate status shows missing required notes, display them:

⊘ Gate Warnings (preview — definitive check runs at execution):
  "Implement login" — missing: implementation-notes (work, required)
  "Write tests" — missing: session-tracking (work, required)

Then offer three options via AskUserQuestion:

◆ Some items have unfilled required notes and will be skipped by the gate.
  What would you like to do?
  1. Fill notes first — use manage_notes(operation="upsert") to fill each item's required notes, then return here
  2. Use cancel trigger — bypasses all gates, marks items as "cancelled"
  3. Proceed anyway — gated items will be skipped, others will complete

Call get_context(itemId=...) to retrieve guidanceKey for items with missing notes, then resolve its text via query_items(operation="schema", itemId=...). Use the guidance as authoring instructions before filling.

Wait for the user's choice. If they choose option 2, switch to trigger="cancel" for the execution step.

If complete_tree reports gate failures in Step 4, fill the missing notes and rerun complete_tree — items already in terminal are silently skipped on subsequent runs.


Step 4 — Execute

Call complete_tree with the chosen trigger:

Feature subtree (rootId):

complete_tree(rootId="<uuid>", trigger="complete")

Specific items (itemIds):

complete_tree(itemIds=["<uuid-1>", "<uuid-2>", "<uuid-3>"], trigger="complete")

Cancel variant (bypasses gates):

complete_tree(rootId="<uuid>", trigger="cancel")

Parse the response and present results:

✓ Batch Complete — "Auth System Feature"
  ✓ Design API schema — completed
  ✓ Set up database — completed
  ⊘ Implement login — skipped (gate: missing implementation-notes)
  ✓ Write unit tests — completed
  — Integration tests — skipped (dependency on "Implement login")

  Summary: 3/5 completed | 1 gate failure | 1 dependency skip

Use these symbols:

  • ✓ — applied: true (completed or cancelled)
  • ⊘ — gate failure (gateErrors present)
  • — — skipped due to dependency on a failed item

Step 5 — Cleanup (Optional)

If the user wants to delete the completed items after finishing (to fully archive a workstream), confirm via AskUserQuestion:

◆ Delete all items under "Auth System Feature" after completing?
  This cannot be undone.
  1. Yes, delete them
  2. No, keep them in terminal state

If confirmed, delete with:

manage_items(operation="delete", itemIds=["<root-uuid>"], recursive=true)

Report what was deleted:

✓ Deleted: "Auth System Feature" and all 5 descendants

Show full SKILL.md (378 more words)Show less

Troubleshooting

Problem: Items are skipped due to gate failures

Cause: The item has required notes that have not been filled. Gate enforcement runs before each transition and blocks completion.

Solution: Fill each item's missing required notes with manage_notes(operation="upsert"), then rerun complete_tree. Alternatively, switch to trigger="cancel" to bypass all gates and force-close the items.


Problem: Items are skipped due to dependency ordering

Cause: An upstream item in the tree failed its gate check. Any item that depends on it (via BLOCKS edges) is automatically skipped in the same run.

Solution: Fix the upstream gate failure first (fill required notes), then run complete_tree again. Only the previously-failed items need to be processed — items already in terminal are skipped silently on subsequent runs.


Problem: rootId not found or complete_tree returns an error

Cause: The UUID provided does not match any existing item, or the item has already been deleted.

Solution: Verify the UUID with query_items(operation="get", itemId="<uuid>"). If not found, search by title fragment: query_items(operation="search", query="<title>"). Use the returned UUID.


FAQ: All items reported as skipped with "already terminal"

This is expected behavior, not an error. Items already in terminal role are intentionally skipped — they were completed or cancelled in a prior run. If the summary shows all items skipped with "already terminal", the workstream is already closed. No further action is needed.


Examples

Example 1: Close a Completed Feature

All items are ready; notes are filled; clean completion with no skips.

Step 2 preview shows:

◆ Impact Preview — "Payment Integration"
  ○ queue:    3 items (will be completed)
  ◉ work:     0 items
  ◉ review:   0 items
  ✓ terminal: 1 item  (already done — will be skipped)

No active items — no warning needed. Gate check shows all required notes filled. Proceed directly.

Step 4 execute:

complete_tree(rootId="pay-uuid", trigger="complete")

Result:

✓ Batch Complete — "Payment Integration"
  ✓ Design payment schema — completed
  ✓ Implement Stripe API — completed
  ✓ Write payment tests — completed
  ✓ Payment Integration — completed (cascade from last child)

  Summary: 4/4 completed | 0 gate failures | 0 dependency skips

Example 2: Cancel an Abandoned Workstream

The feature was scoped out. Force-cancel everything without filling notes.

User says: "Cancel the 'Legacy API Migration' feature — we're not doing it."

Step 2 preview shows active items in work. User is warned and chooses option 2 (cancel active items).

Step 3 gate check — user chooses option 2 (use cancel trigger) to avoid filling notes.

Step 4 execute:

complete_tree(rootId="legacy-uuid", trigger="cancel")

Result:

✓ Batch Cancel — "Legacy API Migration"
  — Audit legacy endpoints — cancelled
  — Map replacement routes — cancelled
  — Update client libraries — cancelled
  — Legacy API Migration — cancelled

  Summary: 4/4 cancelled | 0 gate failures | 0 dependency skips

No gates enforced. All items reach terminal with statusLabel="cancelled".


Example 3: Mixed Result with Gate Failures

Some items complete cleanly; others are missing required notes.

Step 4 execute:

complete_tree(rootId="auth-uuid", trigger="complete")

Result:

✓ Batch Complete — "Auth System"
  ✓ Design auth schema — completed
  ✓ Set up user table — completed
  ⊘ Implement login — skipped (gate: missing implementation-notes)
  — Write integration tests — skipped (dependency on "Implement login")
  ✓ Write unit tests — completed

  Summary: 3/5 completed | 1 gate failure | 1 dependency skip

Follow up: fill implementation-notes on "Implement login" with manage_notes(operation="upsert"), then rerun complete_tree. The two remaining items will be processed on the next run.

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

Files

Just SKILL.md in claude-plugins/task-orchestrator/skills/batch-complete of jpicklyk/task-orchestrator.

Open the folder on GitHubat commit b688ea0

Compare with similar skills

Bulk Task Completion 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.

Bulk Task Completion compared with similar skills
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Bulk Task Completion this skilljpicklyk/task-orchestrator207—~2.6kAutomated safety check: PassMIT
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agtx One-Shot Project Runnerfynnfluegge/agtx1.7k—~3.8kAutomated safety check: PassApache-2.0
Agtx Task Sweepfynnfluegge/agtx1.7k—~1.7kAutomated safety check: PassApache-2.0
OMA Multi-Agent Orchestratorfirst-fluke/oh-my-agent1.3k—~3.1kAutomated safety check: PassMIT
Long Horizon ExecutionRoboClaw-Robotics/RoboClaw165—~1.9kAutomated safety check: PassNone

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Categories

Questions about Bulk Task Completion

What does Bulk Task Completion do?

Completes or cancels a whole feature subtree, a named list of items, or a batch of stale work items at once, previewing the impact and warning before force-completing anything active. The skill first resolves what is in scope: a feature's full subtree found by searching for the named root item, an explicit list of item IDs the user named, or a cleanup sweep found by searching on status or a title fragment, falling back to asking the user directly when the scope cannot be determined from the request. Before executing anything, it previews the impact by fetching child-item counts grouped by role and showing a table labeled either will be completed or will be cancelled depending on which action was requested.

When should I use Bulk Task Completion?

Bulk Task Completion fits situations like: closing out every item under a finished feature in one operation; cancelling an abandoned workstream and its remaining items; cleaning up a batch of stale or old work items at once.

How do I install Bulk Task Completion in Claude Code?

Run `npx skills add jpicklyk/task-orchestrator --skill batch-complete -a claude-code`. Or copy the skill folder (claude-plugins/task-orchestrator/skills/batch-complete in jpicklyk/task-orchestrator) into .claude/skills/batch-complete in your project. Claude Code loads it when a task matches its description.

How do I install Bulk Task Completion in Codex?

Run `npx skills add jpicklyk/task-orchestrator --skill batch-complete -a codex`. Or copy the skill folder (claude-plugins/task-orchestrator/skills/batch-complete in jpicklyk/task-orchestrator) into .agents/skills/batch-complete in your project. Codex loads it when a task matches its description.

Can I use Bulk Task Completion 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 jpicklyk/task-orchestrator --skill batch-complete -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/batch-complete, .gemini/skills/batch-complete, .github/skills/batch-complete and .opencode/skills/batch-complete in your project.

What does Bulk Task Completion need to run?

SKILL.md names no scripts, command-line tools or credentials: Bulk Task Completion is instructions for the agent only. Our summary lists: A connected task-orchestrator MCP server.

Does Bulk Task Completion 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 Bulk Task Completion 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. Review the folder before installing.

What licence does Bulk Task Completion use?

Bulk Task Completion 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 Bulk Task Completion use?

About 2.6k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Bulk Task Completion?

Skills that share tags, products or a category with Bulk Task Completion: MemPalace Task Handoff (MemPalace/mempalace, 59k stars), agtx One-Shot Project Runner (fynnfluegge/agtx, 1.7k stars), Agtx Task Sweep (fynnfluegge/agtx, 1.7k stars) and OMA Multi-Agent Orchestrator (first-fluke/oh-my-agent, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bulk Task Completion?

jpicklyk (a GitHub user) maintains it in jpicklyk/task-orchestrator, which has 207 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 6, 2026.

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