Agent skill

Continuous

by aiblueprinthq in aiblueprinthq/ai-blueprint

Build every remaining planned feature serially in explicit Continuous Mode, with one local branch, verification cycle, commit, archive, and local merge per feature.

MITAuto-check passed

Install Continuous

skills CLI
$ npx skills add aiblueprinthq/ai-blueprint --skill continuous -a claude-code

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

GitHub CLI
$ gh skill install aiblueprinthq/ai-blueprint continuous --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/aiblueprinthq/ai-blueprint.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/continuous .claude/skills/continuous && 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
continuous
GitHub stars
463
Token cost
~4.7k tokens
SKILL.md length
2,559 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
MIT

At a glance

Build every remaining planned feature serially in explicit Continuous Mode, with one local branch, verification cycle, commit, archive, and local merge per feature.

  • Works in 4 steps: preflight once → run one feature lifecycle → optional final integration audit → …
  • SKILL.md covers Input and target selection, Step 1 - preflight once, Step 2 - run one feature… and Step 3 - optional final…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Continuous is an agent skill from aiblueprinthq/ai-blueprint. Build every remaining planned feature serially in explicit Continuous Mode, with one local branch, verification cycle, commit, archive, and local merge per feature. Stop on decisions or blockers and never push or deploy. Use only for /continuous, $continuous, or a direct Continuous Mode request.

Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: A file-backed, spec-driven AI coding workflow framework for building real software while staying in control. The licence is MIT.

Example prompts

  • “/continuous”

Workflow steps

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

  1. preflight once
  2. run one feature lifecycle
  3. optional final integration audit
  4. stop and report

What it can do on your machine

Read from SKILL.md and the folder at commit 96222b7. 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

Continuous loads about 4.7k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 2,559 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k

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 aiblueprinthq/ai-blueprint at commit 96222b7, republished under its MIT licence (© aiblueprinthq). 2,559 words, ~4,671 tokens.

Download SKILL.mdSave it as .claude/skills/continuous/SKILL.md (or your agent's skills folder).
name
continuous
description
Build every remaining planned feature serially in explicit Continuous Mode, with one local branch, verification cycle, commit, archive, and local merge per feature. Stop on decisions or blockers and never push or deploy. Use only for /continuous, $continuous, or a direct Continuous Mode request.

continuous - complete the build plan one local feature at a time

Context reuse: Reuse any required file already loaded in project instructions or the current session. Read it again only if absent, changed, or exact current bytes or line references are needed.

First action: Before project inspection, preflight, or any other tool call, publish running to blueprint/.state/run.json using the dashboard activity contract in AGENTS.md.

Where this sits in the workflow:

/status  ->  [continuous]  ->  final review packet
(ready)      (feature loop,    (local main only,
              local history)    never pushed)

Continuous Mode is an explicit opt-in loop for completing planned features without pausing at normal review prompts. It preserves the same file-backed state, small steps, verification, findings ledger, branches, archives, and one clean main commit per feature that a careful human workflow would produce.

A direct Continuous request authorizes these local actions for this run:

  • create and switch local feature branches
  • create configured checkpoint commits on those branches
  • create required immutable independent-review checkpoints
  • create the final local feature commit
  • squash-merge a completed feature into the local default branch
  • delete the merged local feature branch
  • repeat with the next unchecked build-plan item

It does not authorize push, deploy, publish, send, remote changes, destructive actions, database resets, irreversible migrations, finding acceptance, failed check waivers, or product decisions. It always stops before those actions.

Input and target selection

Before selecting an item or requiring a live active spec, inspect pending completion using the installed Complete skill and ../complete/reference/completion-recovery.md. Use its read-only candidate screen first: settled clean default-branch history needs no historical transient objects for a new run. An actual completion candidate or an explicit request to resume interrupted completion requires full recovery proof, using this run's scoped Git authority and qualityGates.continuous. Do not repeat archival or a work commit/merge. Missing, conflicting, or unprovable recovery evidence stops before next-feature work. An active feature with no completion candidate resumes implementation normally; its ordinary resume does not require an archive or completion proof.

With no argument after pending completion has been reconciled:

  1. Resume an active feature in blueprint/context/current-feature.md.
  2. Otherwise select the next unchecked leaf item in blueprint/build-plan.md.
  3. Continue in build-plan order until no unchecked leaf remains or continuous.maxFeatures completed features have been counted.

resume explicitly resumes the active feature or its pending completion. A feature number or name may set the starting item only when no different work item is active. After that item, continue with the next unchecked leaf items in normal build-plan order.

Continuous Mode handles planned features only. If the active work is a fix or rollback, stop and point to its normal reviewed workflow. Never overwrite active work to make the requested target fit.

Step 1 - preflight once

Read:

  • AGENTS.md
  • blueprint/config.json
  • blueprint/project-plan.md
  • blueprint/build-plan.md
  • blueprint/context/project-overview.md
  • blueprint/context/current-feature.md
  • blueprint/context/findings.md
  • blueprint/context/coding-standards.md
  • blueprint/context/ai-interaction.md
  • git branch, status, default branch, upstream state already known locally, and recent log

A missing config means built-in defaults. If it exists but is invalid, stop and point to /doctor.

Start only when the state is safe:

  • The project is a Git repository.
  • The working tree is clean on the default branch, or all dirty work belongs to the active feature on its matching configured feature branch, including a proven pending completion handled through the recovery contract.
  • The build plan is a valid ordered checkbox plan with at least one remaining leaf, unless resuming an active feature or its pending completion.
  • The overview is current. If it is stale but both plans are clear and consistent, refresh it using the /overview behavior and include that change with the first feature. Stop when refreshing it needs a product decision.
  • Existing P0 or P1 findings are not open or fixed.
  • Project commands and the exact Verify command, when declared, are usable.
  • The requested feature does not conflict with active work.

Do not fetch, pull, install dependencies, start an unauthorized server, alter remote settings, or clean unrelated work during preflight. A known-behind default branch is a stop, not permission to pull.

Record the starting default-branch commit. This bounds the optional final integration audit and the final report.

The initial blueprint/.state/run.json record required by AGENTS.md must already show command continuous and status running before preflight begins. After preflight passes, enrich it with boundary local-only, the current feature, and completed-feature progress against the smaller of the remaining queue or configured limit. Update it when a feature starts, after every passing build step, after each quality gate, and after each local main commit. On a stop, set status blocked with /continuous resume when resuming is safe. At the end of the queue or limit, set status completed and retain the final progress. Activity reporting must never weaken or block the workflow itself.

Step 2 - run one feature lifecycle

Repeat this section serially. Never have two feature branches or specs active at once.

2.1 Select and spec

When resuming, keep the active spec and continue from its first unchecked build step.

For a new item, apply the /feature behavior to the selected build-plan leaf, write blueprint/context/current-feature.md, and self-review the spec before coding. Correct missing unhappy paths, oversized steps, undefined contracts, scope drift, vague done-whens, missing design references, and missing testing plans.

Do not invent an unanswered product, data, architecture, auth, billing, or visual decision. Stop with the exact decision needed. Follow the proportional-engineering contract in AGENTS.md throughout this run.

2.2 Create or resume the feature branch

Use the exact **Branch:** frozen in the spec, including its **Build attempt:** suffix when applicable; do not derive a new branch or attempt from the title. Validate it against git.featureBranchPrefix and Feature's history rules, then create it from the current local default branch. When resuming, require the existing branch and active spec to agree; keep Complete's legacy attempt handling for older specs rather than renaming a reviewed branch.

If switching would strand unrelated work or the default branch changed in a way that makes the active branch unsafe to integrate, stop. Never stash, reset, or discard work automatically.

2.3 Implement small steps

Build the spec in order, one small diff at a time. Continuous Mode does not pause for workflow.stepReview; its explicit invocation replaces those review prompts with self-review plus the final packet.

For each step:

  1. Implement only that step.
  2. Show or retain a readable diff and explain it in the ongoing progress update.
  3. Run the exact documented Verify command when present. Otherwise run the documented build and existing relevant tests.
  4. Enforce verification.logicTests and verification.uiEvidence.
  5. Self-review scope, error paths, security boundaries, project conventions, and tests.
  6. Repair failures within scope, rerun affected evidence, and check off the step only when it passes.
  7. When workflow.checkpointCommits is enabled, create a conventional local checkpoint commit containing that passing step and its checked spec state. When disabled, keep the work uncommitted until feature completion.

Never collapse an oversized step into an unreadable diff. Split the step in the spec and continue. A dependency install, new service, destructive operation, or decision outside the approved plans is a hard stop.

2.4 Apply Continuous quality gates

Use qualityGates.continuous, not the regular or Autopilot gates:

  • Audit: manual skips automatic audit; when-sensitive runs /audit current for authentication, authorization, payments, secrets, personal or user data, migrations, destructive operations, external side effects, security boundaries, or unusually broad changes; always audits every feature.
  • Independent review: manual skips automatic independent review; when-sensitive requires a fresh reviewer for the same sensitive categories as Audit; always requires a fresh reviewer for every feature. A passing independent receipt satisfies the Audit gate for that feature.
  • Check: manual skips automatic /check; when-behavioral runs it when a done-when needs observed runtime behavior such as a click, request, CLI command, download, background job, or multi-screen flow; always checks every feature.
  • Try guide (qualityGates.continuous.tryGuide): use /check guide. manual skips automatic generation; when-user-facing generates a guide for UI, navigation, copy, public API or CLI, output, or another workflow a person directly uses; always generates one for every feature.

Run required gates in this order: check, review, then try guide. Use independent review instead of a builder-session audit when both are selected. manual means the capability remains available later but is not automatic during this run. A try guide is instructions for human review, never proof it was performed.

When a gate cannot run, stop instead of recording a pass. Existing P0/P1 ledger blockers always apply even when audit is manual.

Show full SKILL.md (1,181 more words)Show less
2.5 Repair and re-review findings

Validate audit findings before editing. Repair confirmed P0 and P1 findings only when the repair stays within feature scope, needs no user decision, and does not remove or change shipped behavior. Use continuous.maxRepairAttempts as the maximum attempts for the same failing check or finding; 0 disables automatic repair.

After a repair, rerun affected verification and acceptance evidence, then re-audit the repaired area. Move fixed to closed only when the audit confirms the defect is gone and no worse issue was introduced.

Report P2 and P3 findings. Fix only small defects directly caused by the current feature and clearly required by project standards. Never mark a finding accepted for the user or suppress a failing check.

Any P0 or P1 left open or fixed stops the loop before completion.

When independent review is selected, ensure application code is in a clean immutable checkpoint. First rerun final verification and the selected Check gate and set the spec status to verified. Include the exact spec when tracked; an intentionally ignored spec uses Audit's local Spec snapshot contract without changing visibility. This review checkpoint is covered by Continuous Mode's scoped local lifecycle authority even when step checkpoint commits are disabled. Then follow /audit independent current. With review.independentExecution: "automatic", spawn and wait for the isolated reviewer and validate its normal receipt before continuing. With manual, or when automatic capability cannot prove isolation, identity, model, completion, or access to the same local spec/snapshot, set activity to ready and stop with the manual handoff. Continuous Mode never performs its own independent review. On /continuous resume, continue only with a current passed receipt. For changes-requested, repair within the configured attempt limit, obtain a new checkpoint, and review the whole new target again. A local-spec-only revision may reuse the same approved product HEAD after normal spec and verification gates, with a new snapshot/request and full fresh review. Do not create an empty commit for ignored spec changes.

The request records Requested execution; the receipt records Actual execution. Require the execution and reviewer-context pairing defined by the project-local review contract before continuing the feature loop. A pending request without Requested execution is legacy manual-only. Never add execution fields or run a subagent against it.

2.6 Complete locally like a human

Apply the /complete safety, logging, and archive behavior without asking the normal commit and local-merge prompts, because the explicit Continuous request already authorized those local actions.

For the finished feature:

  1. Run the final documented verification in the current session.
  2. Confirm the current spec's **Status:** is verified. When an independent receipt exists, do not rewrite the reviewed spec before archival.
  3. Confirm all steps are checked, configured gates ran, no unrelated files are mixed in, adapters remain aligned, and no P0/P1 blocker remains.
  4. Reuse the spec's frozen build attempt and exact Complete archive destination. Capture Complete's source-tree/annotation proof before any logging edits, recording landing as local-merge even when project configuration selects pull-request landing for the regular workflow. Fully prepare the archive with the exact verified spec, resolved findings, original passing receipt, and any generated ## Manual try guide section.
  5. Validate and place that archive, update the exact build-plan item/parent and overview hash, then reset live evidence last using Complete's canonical rules. Preserve unresolved findings; reuse a matching archive during recovery.
  6. Commit remaining branch work with one conventional feature-level message.
  7. Switch to the local default branch, squash-merge the feature branch, and create one conventional commit containing product work, tests, and Blueprint history.
  8. Delete the merged local feature branch.
  9. Confirm the default branch is clean before selecting the next feature.

Never merge a partial or failing feature. Never push the default branch.

Count the feature toward continuous.maxFeatures only after its local main commit succeeds. On resume, reconcile the unique proven archive/default-commit pairs already completed in this run before incrementing; cleanup or a repeated resume never counts the same completion twice. If the run boundary or count cannot be recovered for an explicit resume, stop for clarification instead of resetting the count and exceeding the requested limit. A new invocation starting from a clean default branch records that current tip as its new run boundary; already-completed work at or before it does not count toward the new run or require reconstruction of an older run's count.

Step 3 - optional final integration audit

After the loop reaches its feature limit or the end of the build plan, run this step only when continuous.finalIntegrationAudit is true.

Audit the combined default-branch diff from the recorded starting commit through the current HEAD, focusing on cross-feature contracts, integration seams, security boundaries, regression risk, and missing tests. Record findings in the ledger.

For a confirmed P0 or P1 introduced by this run, automatic repair may use one dedicated configured fix branch and the same repair-attempt limit only when no product decision or scope expansion is required. Spec, verify, archive, locally squash-merge, and delete that fix branch like normal Blueprint fix work. Re-audit the repair before closing the finding.

Otherwise stop with the finding open. Do not hide it, widen into general hardening, or present the run as fully ready.

Step 4 - stop and report

A successful stop occurs when:

  • every build-plan leaf is checked, or
  • continuous.maxFeatures successful features were completed.

A blocked stop occurs immediately for:

  • invalid or conflicting Blueprint state
  • unrelated dirty work or branch drift
  • an unanswered user or architecture decision
  • missing design evidence for visual replication work
  • unauthorized dependency, network, external-service, or destructive work
  • failed verification or a gate that cannot run
  • the configured repair-attempt limit
  • an unresolved P0 or P1 finding
  • a pending, changes-requested, malformed, or stale independent review
  • merge conflict or default-branch integration drift

On a mid-feature stop, preserve the feature branch, checked steps, commits, and working tree exactly as they stand. Do not merge or delete it. A later /continuous resume picks up from that state.

On any stop, report:

  • starting and ending default-branch commits
  • features completed this run, each local commit, and branch cleanup state
  • active feature and next unchecked step, if blocked mid-feature
  • exact checks and quality gates run per feature
  • generated try-guide archive locations
  • audit findings and repairs
  • current build-plan progress and next unchecked item
  • why the loop stopped
  • default branch ahead-of-upstream state already known locally
  • explicit reminder that nothing was pushed

Rules

  • One project, one feature, and one branch at a time.
  • No user-supplied feature list is required. The build plan is the queue.
  • Preserve small implementation steps and one clean local main commit per completed feature.
  • workflow.stepReview does not pause Continuous Mode.
  • workflow.checkpointCommits controls step checkpoints, not the required feature-level local history.
  • Continuous quality gates control automatic audit, independent-review, check, and try-guide work. They never weaken Verify, testing, UI evidence, or P0/P1 blockers.
  • Explicit Continuous invocation authorizes only the local Git lifecycle described here.
  • Never push, deploy, publish, send, mutate remote services, or perform destructive actions.
  • Never accept findings, waive failures, or make product decisions for the user.
  • Stop truthfully. A resumable blocked run is better than fabricated progress.

Formatting

Follow blueprint/context/ai-interaction.md. Keep progress updates concise and feature-oriented. The final packet must be readable without the intermediate updates.

© aiblueprinthq, 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 .agents/skills/continuous of aiblueprinthq/ai-blueprint.

Open the folder on GitHubat commit 96222b7

Compare with similar skills

Continuous 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.

Continuous compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Continuous this skillaiblueprinthq/ai-blueprint463—~4.7kAutomated safety check: PassMIT
Plancodewhale-hq/Codewhale41k—~213Automated safety check: PassMIT
Planningn8n-io/n8n207k—~2.5kAutomated safety check: PassCustom licence
Planasgeirtj/system_prompts_leaks69k—~5.1kAutomated safety check: PassCC0-1.0
Review Planpenpot/penpot61k—~841Automated safety check: PassMPL-2.0
Make A Planpenpot/penpot61k—~1.6kAutomated safety check: PassMPL-2.0

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Questions about Continuous

What does Continuous do?

Build every remaining planned feature serially in explicit Continuous Mode, with one local branch, verification cycle, commit, archive, and local merge per feature. Continuous is an agent skill from aiblueprinthq/ai-blueprint. Build every remaining planned feature serially in explicit Continuous Mode, with one local branch, verification cycle, commit, archive, and local merge per feature.

How do I install Continuous in Claude Code?

Run `npx skills add aiblueprinthq/ai-blueprint --skill continuous -a claude-code`. Or copy the skill folder (.agents/skills/continuous in aiblueprinthq/ai-blueprint) into .claude/skills/continuous in your project. Claude Code loads it when a task matches its description.

How do I install Continuous in Codex?

Run `npx skills add aiblueprinthq/ai-blueprint --skill continuous -a codex`. Or copy the skill folder (.agents/skills/continuous in aiblueprinthq/ai-blueprint) into .agents/skills/continuous in your project. Codex loads it when a task matches its description.

Can I use Continuous 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 aiblueprinthq/ai-blueprint --skill continuous -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/continuous, .gemini/skills/continuous, .github/skills/continuous and .opencode/skills/continuous in your project.

What does Continuous need to run?

SKILL.md names no scripts, command-line tools or credentials: Continuous is instructions for the agent only.

Does Continuous 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 Continuous 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 Continuous use?

Continuous 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 Continuous use?

About 4.7k tokens (SKILL.md is roughly 19k 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 Continuous?

Skills that share tags, products or a category with Continuous: Plan (codewhale-hq/Codewhale, 41k stars), Planning (n8n-io/n8n, 207k stars), Plan (asgeirtj/system_prompts_leaks, 69k stars) and Review Plan (penpot/penpot, 61k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Continuous?

aiblueprinthq (a GitHub organization) maintains it in aiblueprinthq/ai-blueprint, which has 463 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 8, 2026.

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