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gad-quick-skill

gad-quick-skill

>- Fast path to draft a new skill from a candidate context file or raw materials. Wraps the dot-agent create-skill skill, which is a lightweight authoring guide (no eval loop, no benchmarks, no test runs) — ideal when you have clear context and just need to write a clean SKILL.md following the conventions. Use whenever you want to draft a skill quickly without running a full test-and-iterate loop. Triggers on "draft a skill", "quick skill", "write a skill from this", "convert this candidate to a skill", or whenever `gad:evolution:evolve` invokes the drafting step. For high-stakes skills that need real test runs and iteration, use `gad-skill-creator` (the heavy path) instead — but quick is the right default.

gad-quick-skill

A thin wrapper around dot-agent's create-skill that lets us draft new GAD skills fast without spinning up a full test loop.

We use the dot-agent skill unmodified — it's already a clean format guide that enforces the 200-line rule, the progressive disclosure principle, and the references/ split. We take ownership of how it's invoked inside the GAD loop.

When to use this skill

  • gad:evolution:evolve calls this for each high-pressure phase candidate.
  • A user explicitly says "draft a skill for X" or "quick skill" or "convert this candidate to a skill."
  • You've finished a workflow and want to capture a SKILL.md immediately without running through gad-skill-creator's eval loop.
  • You have a clear context source — a CANDIDATE.md from compute-self-eval, a raw phase dump, or a working session you want to preserve.

When NOT to use this

  • The skill is high-stakes and you want test runs against real subagents to validate it — use gad-skill-creator (heavy path) instead.
  • You're improving an existing skill that already has tests — gad-skill-creator knows how to read the existing tests and re-run them.
  • The pattern isn't actually clear yet — write a quick note instead and let the next evolution surface it.

Step 1 — ensure dot-agent create-skill is installed

Idempotent — only installs if missing:

if [ ! -d "$HOME/.agents/skills/create-skill" ]; then
  npx --yes skills add https://github.com/siviter-xyz/dot-agent --skill create-skill --global --yes
fi

After install, ~/.agents/skills/create-skill/SKILL.md is the canonical source plus four reference files in references/. Read SKILL.md once for the full authoring guide — this wrapper only handles the input plumbing.

Step 2 — locate the source context

The drafting input depends on how you were invoked:

  • From gad:evolution:evolve: skills/proto-skills/<slug>/CANDIDATE.md — already exists, written by compute-self-eval. Contains the raw phase dump (tasks, decisions, file refs, CLI surface, related skills, git log highlights).
  • From a direct user request: decide on a kebab-case slug, create skills/proto-skills/<slug>/, and write a CANDIDATE.md from whatever the user is pointing at (a phase, a working session, a transcript, a file).
  • From a "redraft this skill" request: the existing skill's directory.

The CANDIDATE.md is not curated and does not contain a proposed name, proposed test prompts, or hand-picked decisions. It's the raw source. The agent reads it and decides what matters. This is intentional — see the 2026-04-13 evolution-loop experiment finding: curators are filters, raw input pulls in more decisions.

Step 3 — invoke dot-agent create-skill on the source

Read ~/.agents/skills/create-skill/SKILL.md and follow its authoring workflow, treating CANDIDATE.md (or the user's context) as the source. The key constraints from dot-agent's guide:

  • SKILL.md must be under 200 lines — hard rule.
  • Description should be appropriately "pushy" so the skill triggers reliably.
  • Split deeper content into references/<file>.md and reference from SKILL.md.
  • Use the imperative form in instructions.
  • Explain why, not just what.

Write to skills/proto-skills/<slug>/SKILL.md and any references files under skills/proto-skills/<slug>/references/.

Pick the kebab-case skill name yourself, drawing from the phase or context. Do not ask the human — the whole point of the autonomous loop is that you make the call.

Step 4 — Hand off to the validator

After SKILL.md is written, the orchestrator (gad:evolution:evolve) runs the validator skill (gad-evolution-validator) on the new proto-skill. The validator writes skills/proto-skills/<slug>/VALIDATION.md with advisory notes:

  • Files cited in SKILL.md that don't exist in the repo
  • CLI commands cited that don't appear in gad --help
  • Convention shapes (e.g. gad.json examples) that don't match existing files in the repo

VALIDATION.md is advisory, not blocking. The human reviewer reads both SKILL.md and VALIDATION.md before promote/discard. You don't need to act on the validator yourself — just leave the proto-skill in place.

Step 5 — Stop

Do not iterate. Do not run test prompts. Do not ask for review. The proto-skill stays in skills/proto-skills/<slug>/ until a human runs gad evolution promote <slug> or gad evolution discard <slug> later.

If the orchestrator passed you multiple candidates, loop steps 2-4 for each one. Otherwise stop after one.

Failure modes

  • dot-agent guide says to ask the user questions. Don't. Make the call yourself and document the decision in the skill body. We're autonomous here.
  • Tempted to run test prompts. That's gad-skill-creator territory. Stop at SKILL.md.
  • CANDIDATE.md is sparse. Read it anyway and pull from the file references it points at — that's where the depth lives.

Why this skill is universal (not under gad:evolution:)

Quick-skill is useful outside the evolution loop too — anytime you want to write a skill fast from clear context. Keeping it general means we don't duplicate the wrapper for one-off skill authoring vs evolution drafting.

Reference

  • ~/.agents/skills/create-skill/SKILL.md — dot-agent's canonical authoring guide
  • ~/.agents/skills/create-skill/references/* — format, structure, examples, best practices
  • gad-skill-creator — the heavy path with full eval loop (Anthropic skill-creator)
  • gad-evolution-evolve — the orchestrator that calls this for each candidate
  • 2026-04-13 evolution-loop experiment finding (evals/FINDINGS-2026-04-13-evolution-loop-experiment.md)
Source on GitHub

vendor/get-anything-done/sdk/skills/gad-quick-skill/SKILL.md

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