ad-skill

SkillAI & models

Draft a new Claude Code or Codex skill at .claude/skills/<name>/SKILL.md (or .agents/skills/<name>/SKILL.md for Codex), using the Anthropic Skills format. Use when the user wants to create, write, draft, or scaffold a custom skill for an agentic coding tool. Asks one question per missing field; never invents skill names or triggers.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the ad-skill skill

What this skill tells your AI

The instructions your AI receives, as published by corridortech/posecap in .agents/skills/ad-skill/SKILL.md and read by ahel’s review.

<background_information> Drafts .claude/skills/<name>/SKILL.md (Claude Code) or .agents/skills/<name>/SKILL.md plus agents/openai.yaml (Codex). Spec: code.claude.com/docs/en/skills. Open standard: agentskills.io. Examples: github.com/anthropics/skills. </background_information>

Step 2 — interview to fill. Ask one question per missing field, in this order:

  • What it does — one sentence, primary triggering signal.
  • When to invoke — common task framings the user would say. Combined description + when_to_use is capped at 1,536 chars per the Anthropic spec.
  • Tools needed — Read, Write, Glob, Grep, Bash, Task, ... Restrict to what the skill actually uses.
  • Body shape — instructions, optional template, output contract. Keep ≤500 lines; move long material to sibling files (reference.md, examples.md, scripts/).

Do NOT invent values. When the user does not know something, ask. Do NOT invent fields not in the spec — only declare frontmatter fields that actually apply.

Step 3 — write the file(s).

Path:

  • Claude Code project: .claude/skills/<name>/SKILL.md
  • Claude Code personal: ~/.claude/skills/<name>/SKILL.md
  • Codex project: .agents/skills/<name>/SKILL.md plus .agents/skills/<name>/agents/openai.yaml (cc-sdd convention).

Frontmatter per agent:

  • Claude Code: name, description, allowed-tools (and any other field from the spec the user asked for).
  • Codex: minimal frontmatter — name, description. Body uses XML tags (<background_information>, <instructions>, <template>, <output_contract>). The agents/openai.yaml carries interface.display_name, interface.short_description, policy.allow_implicit_invocation.

Body: imperative instructions ("do X", not "this skill does X"). Every line is recurring token cost once the skill loads — be terse. Don't restate AGENTS.md.

Step 4 — stop after writing. Do not invoke the new skill, do not pre-fill it with example content, do not test it. The user will exercise it themselves.

<output_contract> A single new SKILL.md at the chosen path (plus agents/openai.yaml for Codex). Frontmatter declares only the fields actually used. Body is imperative and terse. No external file dependencies the user did not ask for. </output_contract>

Next

  • Test the new skill's description triggers by invoking it from a real conversation — verify auto-triggering on the keywords you chose.
  • If the skill is meant to be universal across the kit's profiles, propose an ADR + Task to add it to the profile catalog (src/lib/profiles.js).
  • If the skill carries a sibling subagent, declare it in manifest.json and add the source under agents/.

Signals

GitHub stars
209
Forks
17
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
ad-skill-corridortech
Source
github.com/corridortech/posecap