frankxai

skill-forge

Forge a reusable, portable skill from a proven workflow or capability brief. Use when the work needs repeatable instructions, triggers, guardrails, and evidence tests but does not need a persistent autonomous identity.

frankxai 11 3 Updated 1mo ago

Resources

2
GitHub

Install

npx skillscat add frankxai/starlight-intelligence-system/skill-forge

Install via the SkillsCat registry.

SKILL.md

Skill Forge

Outcome

Design one narrow capability as a portable Agent Skills package with explicit activation boundaries, then compile and prove it when a Foundry runtime is available.

Use this skill when

  • A successful workflow should become reusable.
  • A user asks to create, improve, or package a skill.
  • A repeated task needs stable instructions, tools, guardrails, or evaluation.
  • The capability should work in ChatGPT, Codex, or a skills-based plugin.

Do not use it when the work requires persistent decision rights, a distinct durable memory scope, or an ongoing trigger owned by an autonomous actor. Use $agent-forge only after proving one of those boundaries.

Procedure

  1. Define the decision contract.

    • Capture the objective, audience, deliverables, stakes, reversibility, permissions, constraints, and completion tests.
    • Ask only for missing information that materially changes the capability.
  2. Discover before creating.

    • Inspect the capability graph and existing skills.
    • Reuse or depend on an existing capability when it already owns the behavior.
    • Record required, preferred, and forbidden capabilities explicitly.
  3. Bound activation.

    • Write concrete positive triggers and at least one negative trigger.
    • Keep one skill responsible for one coherent outcome.
    • Avoid broad adjectives as requirements; translate them into observable gates.
  4. Author the Skill Pack.

    • Give every procedure step a proof obligation.
    • Declare inputs, outputs, dependencies, tool policy, memory policy, deployment targets, and optional taste profile.
    • Keep SKILL.md frontmatter limited to name and description.
  5. Select the execution mode.

    • Foundry runtime available: use this mode only when tools/foundry/cli.mjs and foundry/contracts/ exist in the current workspace. Validate the Task Envelope and Skill Pack, then run:

      node tools/foundry/cli.mjs forge \
        --envelope <task-envelope.json> \
        --pack <skill-pack.json> \
        --out <package-directory>
    • Portable skills-only install: read references/portable-contracts.md, then author the Task Envelope, Skill Pack, and proposed SKILL.md directly with those field names. Mark compilation and proof pending-runtime; do not invent paths, commands, or receipts. Give the operator the command above as an optional handoff for a later SIS workspace run.

  6. Prove.

    • Run this step only in Foundry runtime mode.

    • Run static and artifact checks first.

    • Execute command tests only when the Task Envelope permits the executable.

    • Keep manual and judge tests pending until independent evidence exists.

    • Run:

      node tools/foundry/cli.mjs prove <package-directory>
  7. Promote only from receipts.

    • validated: every required lane passed.
    • experimental: required evidence is still pending.
    • revise: a required test failed.
    • rejected: a critical security test failed.

Quality gates

  • The skill is narrower than an agent and more reusable than a one-off prompt.
  • Trigger examples distinguish when to use and when not to use it.
  • The procedure is executable without hidden context.
  • Claims about research, tests, writes, or deployment have receipts.
  • The producer is not the sole judge for a required taste lane.

Return

Return the Task Envelope, Skill Pack, proposed skill, execution mode, and unresolved proof. Include a compiled package path and Evidence Receipt only when those artifacts were actually produced.