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Convert Tacit To Skill

skill-11yuxuanyang-polanyi-stack-convert-tacit-to-skill · by 11Yuxuanyang

Convert tacit knowledge into a reusable agent or Codex skill by extracting cues, scoping the task, defining boundaries, and packaging the workflow into SKILL.md plus tests. Use when the user wants a fixed agent, reusable skill, or repeatable copilot based on expert judgment.

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Install

$ agentstack add skill-11yuxuanyang-polanyi-stack-convert-tacit-to-skill

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Convert Tacit To Skill

Core judgment: do not build a broad agent from vague expertise. Build a narrow agent from repeated expert performance.

Use When

  • The user wants to turn tacit knowledge into a reusable agent or skill
  • The user wants a fixed copilot for one recurring type of judgment or task
  • A human expert performs well, but the behavior is not yet packaged for reuse

Target Output

Prefer a single-purpose artifact:

  • one agent
  • one task family
  • one primary user request shape
  • one clear escalation boundary

If the request is broad, split it into multiple future skills instead of one bloated skill.

Workflow

1. Scope the Agent

Define:

  • role: what the agent is responsible for
  • task: what recurring task it performs
  • scene: the high-value context where it helps
  • success standard: what a good output looks like
  • non-goals: what it must not try to do

2. Extract the Tacit Layer

Use real cases, walkthroughs, or observed performance.

Pull out:

  • trigger phrases
  • decision cues
  • default sequence
  • failure signatures
  • escalation boundary

If the tacit layer is still vague, switch to [extract-tacit-knowledge](./../extract-tacit-knowledge/SKILL.md).

3. Choose the Right Packaging

Pick one:

  • Codex skill: for reusable guidance, procedural structure, references, scripts, and trigger metadata
  • fixed prompt or copilot spec: for a narrower internal agent behavior
  • human-agent hybrid workflow: when the agent should stop at synthesis and hand off decisions

Default to Codex skill if the task recurs and can benefit from supporting files.

4. Build the Skill Skeleton

Define:

  • skill name
  • frontmatter name and description
  • use when triggers
  • step-by-step workflow
  • required references
  • scripts if determinism is needed
  • output contract
  • do-not-do rules

If you need a format, read references/skill-blueprint.md.

5. Add Validation

Before calling it reusable, create:

  • three trigger examples
  • three non-trigger examples
  • two success cases
  • one failure or escalation case

If you need a format, read references/skill-test-template.md.

6. Decide Install Shape

Use one of:

  • repo-local only
  • symlink into ~/.codex/skills
  • copy into shared skills directory

Prefer symlink when the source repo should remain the source of truth.

Output

Return:

  • recommended skill name
  • scope statement
  • cue and boundary summary
  • SKILL.md outline
  • required references or scripts
  • test cases
  • install recommendation

Do Not

  • package a personality instead of a task
  • hide unclear boundaries inside vague language
  • claim reusability without trigger tests and escalation tests

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.