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SKILL verified Apache-2.0 Self-run

Forge

skill-shivae372-claude-bootstrap-forge · by shivae372

Authors a NEW, project-specific Claude Code skill from scratch when the ecosystem has nothing that fits. Use after `augment` finds no good match, or when the user wants a custom workflow captured as a reusable skill. Produces a detailed, validated skill — never a generic stub. Triggers: 'make a skill for…', 'turn this into a skill', 'I keep doing X, automate it'.

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Install

$ agentstack add skill-shivae372-claude-bootstrap-forge

✓ 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

Purpose

Capture a capability as a durable, high-quality skill tailored to THIS codebase. The deterministic scaffolder guarantees structure and validity; you supply the real, specific substance. A generic skill is a failed skill.

When to use this

  • augment searched the ecosystem and nothing good fit.
  • The user has a repeatable, project-specific workflow worth making one-command.

Steps

1. Understand the task deeply FIRST

Before writing anything, learn how this project actually does the thing:

  • Read the relevant files (configs, scripts in package.json/Makefile/pyproject,

existing patterns). Use the explorer agent for big repos.

  • Identify the EXACT commands, file paths, env vars, and success checks involved.

Specificity here is the whole point.

2. Scaffold a valid skeleton

python3 .claude/engine/skill_forge.py scaffold \
  --name  \
  --description " + Use when " \
  --allowed-tools "Bash, Read"

This writes .claude/skills//SKILL.md with the right frontmatter and the section skeleton (Purpose / When to use / Steps / Output / Guardrails / References), plus scripts/ and references/ dirs.

3. Fill it with REAL detail (replace every placeholder)

Edit the SKILL.md so the Steps are the actual procedure for this project:

  • Real commands with the real flags (pnpm test --filter web, fly deploy --remote-only…).
  • Real file paths and expected outputs.
  • A concrete success check and explicit guardrails (what it must never do).
  • Long reference material → drop into references/ and link it (progressive disclosure).
  • If the skill needs a helper, write it into scripts/ and call it from the steps.

4. Validate — the quality gate

python3 .claude/engine/skill_forge.py validate .claude/skills//SKILL.md

It FAILS if placeholders remain or the body is too thin. Do not finish until it passes.

5. Prove it, then learn

Run the new skill once on a real (safe) case to confirm it works. Then record it:

echo '{"category":"workflow","text":"Forged skill : ","tags":["forge"]}' \
  | python3 .claude/engine/learn.py add

Output

A validated .claude/skills//SKILL.md (plus any scripts/), specific to this project, ready to auto-invoke — and a note to the user on how to trigger it.

Guardrails

  • Never ship a skill that still contains skeleton placeholders (the validator blocks this).
  • One skill = one job. If it's growing two jobs, forge two skills.
  • Keep the body lean; push detail into references/.

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.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.