agentleFS
erayendeserayendes/cogitors/skills/claude/SKILL.md

claude

Skill2 starsChanged 45 days agoMITView on GitHub

Use when the user invokes /claude or explicitly asks Claude Code to perform a task. Not for ordinary coding requests or discussion of Claude.

35 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use compare-screenshots, implement-spec-with-codex and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • transitive-bullshitSkill

    compare-screenshots

    Compare screenshots against the intended design, distinguishing approved references from historical baselines. Use for iterative implementation matching, before/after visual review, objective image telemetry, or checking a lone capture for flat, empty, or badly framed content.

    Also in 5 projects that use this

  • dzhngSkill

    implement-spec-with-codex

    Run [implement-spec](../implement-spec/SKILL.md) with Codex doing the implementation passes while you orchestrate, integrate, and review. Use when the user asks to implement a spec with Codex, or to run implement-spec with Codex as the implementer.

    Also in 4 projects that use this

  • dzhngSkill

    close-spec

    When a spec under specs/<feature>/ is done shipping (a write-spec build, or any planned task that produced a spec), archive it to specs/done/ and rewrite it from a build-plan into a durable rationale — the why, the principles, the invariants — pointing back to the real code for the how. Use when implementation has landed and the plan no longer matches what shipped, or the user says a feature/spec is finished. Pairs with [write-spec](../write-spec/SKILL.md) (the plan this closes) and [review](../review/SKILL.md) (run before closing).

    Also in 4 projects that use this

  • wolverin0Skill

    audit-decisions

    Standardize remediation decisions, baseline-policy entries, and legal-review banners for accepted, deferred, or policy-blocked audit findings.

    Also in 4 projects that use this

  • bergsideSkill

    ant

    Structured, enterprise-focused design system emphasizing clarity, consistency, and efficiency for data-dense web applications.

    Also in 3 projects that use this

  • bergsideSkill

    artistic

    High-contrast, expressive style with creative typography and bold color choices for visually striking interfaces.

    Also in 3 projects that use this

  • +4 more from dzhng
  • +2 more from bergside

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 29 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run the user's task with Claude Code only.

    line 8
  2. Distinctive:

    If the current host is already the requested Claude instance, perform the task here unless the user requests a separate process, …

    line 10

“Common” is measured: kept by at least 6 in 10 of the 29 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Claude

Run the user's task with Claude Code only. Do not start a council or delegate recursively. Preserve the task, working directory, account, requested model/effort and authorization scope.

If the current host is already the requested Claude instance, perform the task here unless the user requests a separate process, independent context or a different model/account. Never claim the current host changed model when it did not.

For an external call in a repository checkout, read ../cogitors/references/execution.md and run ../cogitors/scripts/run.py through Python, both relative to this SKILL.md's directory; packaged skills contain their own copies. Write a one-job JSON manifest outside the project, e.g. in a temporary directory, with agent: claude, the absolute project cwd, concise full task prompt, access: review unless edits are authorized, and timeout_seconds set to fit the task, up to 3600. Pass model/effort only when selected; otherwise inherit existing settings. An optional first token selects them: /claude opus-5.5-high <task>. Treat the first token as a selection only if it is an effort word, a known alias (opus|sonnet|haiku) or a model-like ID containing a digit (opus-5.5); otherwise it is part of the task. Split a trailing effort (low|medium|high|xhigh|max) from the model; either part may be omitted (/claude high <task>). opus, sonnet and haiku pass as aliases; a versioned name becomes the full ID with dots as hyphens and a claude- prefix (opus-5.5 → claude-opus-5-5).

Require installed/authenticated claude; report missing access without changing settings or providers. Call Claude Code only through run.py with a manifest written by the file tool, and keep its flags as they are. Plan mode is not an OS sandbox; retain host restrictions.

Read the normalized response, verify consequential claims and any changed artifacts with relevant checks, then give one concise result with remaining limitations. Missing usage is unknown. A timeout or provider error does not authorize a retry, another model or another account. For an explicitly requested follow-up, use the recorded session ID, never -c or the latest conversation.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.