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697d4ce974
Adds an `agents/openai.yaml` beside each `SKILL.md` so the skills work in Codex as well as Claude Code, without generated copies: - `interface.display_name` + `interface.short_description` for the Codex skill picker, hand-written for all 39 skills. - `policy.allow_implicit_invocation: false` on the 22 user-invoked skills — the Codex analog of `disable-model-invocation: true`, so Codex excludes them from implicit invocation while explicit `$skill` still works. - Document the dual-harness invocation model in `.agents/invocation.md`, `CLAUDE.md`, and the promoted-bucket READMEs. - Add `AGENTS.md` as a symlink to `CLAUDE.md` so Codex reads the same instructions; note Codex as a `link-skills.sh` install target. Slimmed-down rework of the approach prototyped in #522: keeps the essential cross-harness metadata, drops the Ruby validator, the runtime-detector test, per-skill `default_prompt`s, and the unrelated promotion changes. Co-authored-by: gabimoncha <gabimoncha@users.noreply.github.com> Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Productivity
General workflow tools, not code-specific.
User-invoked
Reachable only when you type them (Claude Code: disable-model-invocation: true; Codex: policy.allow_implicit_invocation: false in agents/openai.yaml).
- grill-me — Get relentlessly interviewed about a plan or design until every branch of the decision tree is resolved.
- handoff — Compact the current conversation into a handoff document so another agent can continue the work.
- teach — Teach the user a new skill or concept over multiple sessions, using the current directory as a stateful teaching workspace.
- writing-great-skills — Reference for writing and editing skills well: the vocabulary and principles that make a skill predictable.
Model-invoked
Model- or user-reachable (rich trigger phrasing so the model can reach for them).
- grilling — Interview the user relentlessly about a plan, decision, or idea until every branch of the decision tree is resolved.