skill-authoring
Use when creating, editing, or reviewing HOTL skills, agents, command prompts, or other behavior-shaping instruction files.
- License 许可
- Apache-2.0
- 最近更新
- 2026-11-14
- Stars
- ★ 1.6k
- Forks
- 490
01 前言 Front Matter
- name
- skill-authoring
- description
- Use when creating, editing, or reviewing HOTL skills, agents, command prompts, or other behavior-shaping instruction files.
03 SKILL.md 正文
HOTL Skill Authoring
Overview
HOTL skills are behavior-shaping code. Treat changes to skill text, agent prompts, command routers, and adapter instructions with the same care as production logic: define the failure mode, make the desired behavior explicit, verify the change, and update every index or mirror that exposes it.
When To Use
Use this before changing:
skills/*/SKILL.mdagents/*.mdcommands/*.mdcline/rules/*.md- adapter templates that steer agent behavior
- docs that define skill invocation or routing
Do not use it for ordinary product docs, generated reports, or local project README edits unless they change how agents should behave.
Process
-
State the behavior change
- What agent behavior is wrong, missing, or ambiguous?
- What prompt or session exposed the issue?
- Is the change broadly useful, or project-specific?
-
Choose the right abstraction
- Skill: reusable workflow or process the user can invoke.
- Agent: isolated specialist with a stable output contract.
- Inline prompt: short role text used by one skill only.
- Script/lint: deterministic rule that should not depend on model judgment.
-
Write trigger-only frontmatter
name: kebab-case, no command-name collision.description: says when to activate, not the workflow steps.- Avoid descriptions that summarize the process; agents may follow the summary and skip the body.
-
Keep behavior text testable
- Use direct rules for invariants.
- Add red flags for common rationalizations.
- Prefer short, concrete examples over long narratives.
- Separate heavy references or templates into adjacent files only when they reduce the main skill's noise.
-
Update routing and mirrors
- Add new skills to
skills/using-hotl/SKILL.md. - Update
docs/skills.md, README tables, and Codex docs for user-visible skill changes. - Update Cline rules or adapter templates when their behavior mirrors the changed skill.
- Add new skills to
-
Verify behavior
- Add or update smoke tests for structural expectations.
- For high-impact skill wording, run pressure tests or before/after sessions that demonstrate the target behavior.
- Run
bats test/smoke.batsbefore claiming the skill change is ready.
Description Trap
The frontmatter description is discovery text, not a miniature skill. If it contains a workflow summary, an agent may act on that summary without reading the full body.
Bad:
description: Use when executing plans - dispatches workers, reviews every task, then finalizes
Good:
description: Use when executing implementation workflows that can delegate contained steps to fresh subagents.
Checklist
- [ ] The change solves a real behavior gap.
- [ ] The abstraction is skill vs agent vs inline vs script for a reason.
- [ ] Frontmatter description is trigger-only.
- [ ] New skills are indexed in
using-hotl. - [ ] User-facing docs list new or renamed skills.
- [ ] Mirrors and adapters are updated when behavior is shared.
- [ ] Smoke tests or pressure tests cover the changed behavior.
04 同仓库更多 Skills
migrate-to-e2e
Moves an existing Playwright, Cypress, Selenium, Appium, Detox, Maestro, or TesterArmy suite to e2e one slice at a time, with the old suite running beside the new one until each ported test is proven. Keeps a MIGRATION.md progress file so any later session resumes where the last stopped. Optionally plants a defect to show both suites catch it. Use for /migrate-to-e2e, "migrate our tests to e2e", "port these Maestro flows", "move our TesterArmy tests", or when a project has an e2e config and an older suite still running.
e2e
Writes, runs, and debugs end-to-end tests for web and mobile apps with e2e, the agentic test runner, which mixes agent.act goals with exact locator assertions on a Playwright browser or an iOS or Android device. Also drives a project's running app live over the e2e MCP server to look at a screen, check a UI change, take a screenshot or record a video, and try a locator; and runs bug bashes, parallel e2e explore runs with each bug proven by a repro test. Use when a project depends on e2e or has an e2e.config.ts, when asked for end-to-end, browser, mobile, or agentic UI tests, to check a change in the running app, to QA or bug bash an app or branch, or when an e2e run fails.
create-verification-skill
Generate a project-local verify-<app> skill on top of e2e, so any coding agent can launch the app, check it is worth driving, exercise a feature the way a user does, keep evidence, and bug bash it. Writes the skill, a feature map with one explore charter per feature, and proves it once. Use for /create-verification-skill, "make a verification skill for this repo", or when a project has no scripted way to prove UI behavior.
deja-search
deja-vu memory — search the user's past AI coding sessions with the deja CLI. Holds what they already settled and never wrote into the repo (naming rules, banned or already-tried tools, required checks before merge, preferred values, who owns what). Use before your first edit in a task, before you call a change done or ready to merge, before you recommend a tool, library, design or reviewer, before re-debugging an error that may already be solved, when they say 'didn't we fix this before', 'what did we decide about X' or 'I already have that', and before telling them something on this machine does not exist.
deja-reflect
End-of-session reflection and memory curation with deja-vu. Review what was decided, what commands broke and what repaired them, and record durable project rules or decisions with deja remember so the next session starts with them.
revid
Make, edit, export and post AI videos with Revid (revid.ai) through the Revid MCP server. Use whenever the user wants a short-form or long-form video made (from an idea, a script, a URL, an article, a PDF, a tweet, a product page, their own clips, or a song), wants to find what is going viral on TikTok, YouTube, Instagram or X before making something, wants to edit or re-export an existing Revid project, generate a standalone AI image or clip, make a series episode, or publish and schedule a finished video to connected social accounts. Covers setup (hosted MCP with OAuth, or an API key), the 36 tools, credits, polling and the rules for publishing. Routes to the more specific revid-* skills when one fits.