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TheAstroByteTheAstroByte/astrobyte-agent-skills/skills/astrobyte-recall/SKILL.md

astrobyte-recall

Skill1 starsChanged 14 days agoMITView on GitHub

Reconstruct current work state from repository evidence, handoffs, decision trails, recent history, artifacts, and available session records. Use when resuming work, switching harnesses, changing machines, or asking where a project was left.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    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:

    Read repository instructions and current Git state.

    line 10
  2. Distinctive:

    Use harness session or thread history when available.

    line 12
  3. Distinctive:

    Verify claimed running processes, files, artifacts, tests, metrics, and remote state before relying on them.

    line 13

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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

Astrobyte recall

  1. Read repository instructions and current Git state.
  2. Inspect recent commits, active branches or worktrees, open changes, project handoffs, .astrobyte/decisions.tsv, run state, and generated next-step prompts.
  3. Use harness session or thread history when available. Treat it as evidence that may be stale.
  4. Verify claimed running processes, files, artifacts, tests, metrics, and remote state before relying on them.
  5. Separate facts, likely inferences, and unresolved questions.

Return:

  • objective
  • completed and verified work
  • current live state
  • decisions and rationale
  • uncommitted or external state
  • blockers and risks
  • exact next safe action
  • evidence locations

Recall is complete when another agent can continue without repeating completed work or trusting stale transcript claims.

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  • It worked
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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.