القائمة
Scaffold a new Clade skill end-to-end — interviews for use cases and trigger phrases, generates SKILL.md + prompt.md with spec-validated frontmatter (bilingual triggers, NOT-for disambiguation), wires golden-set routing tests, and runs the lint gate before committing
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Clade goal-driven autonomous improvement loop (Blueprint architecture — deterministic pre/post phases + LLM supervisor/worker nodes, converges when goal met or max-iter hit). NOT the Claude Code built-in /loop (which polls a prompt on an interval like `/loop 5m /foo`) — if the user wants interval polling, route to the built-in.
Adaptive, resumable Git delivery across repositories and agent runtimes — probe policy, checkpoint coherent work, publish, review, integrate, and verify cleanup
Adaptive, resumable Git delivery across repositories and agent runtimes — probe policy, checkpoint coherent work, publish, review, integrate, and verify cleanup
Inspect or select a Clade execution connection while keeping agent runtime, inference provider, wire protocol, and model distinct. Use for Claude/Codex runtime selection, Anthropic/OpenAI/MiniMax/Kimi/custom gateways, model routing, or connection troubleshooting.
Inspect or select a Clade execution connection while keeping agent runtime, inference provider, wire protocol, and model distinct. Use for Claude/Codex runtime selection, Anthropic/OpenAI/MiniMax/Kimi/custom gateways, model routing, or connection troubleshooting.
Equipment manager for Claude Code projects — inventory local skills/agents/scripts, audit external upstream repos (red-flag + prompt-injection screening), and sync selectively after user approval. Absorbs container-layout skill repos AND single-skill-at-root repos (e.g. a company design-system repo). Project-agnostic.
| name | skill-new |
| description | Scaffold a new Clade skill end-to-end — interviews for use cases and trigger phrases, generates SKILL.md + prompt.md with spec-validated frontmatter (bilingual triggers, NOT-for disambiguation), wires golden-set routing tests, and runs the lint gate before committing |
| when_to_use | create a new skill, scaffold a skill, add a skill, write a new slash command, build a skill for X, 新建技能, 创建技能, 写个新技能 — NOT for hook generation (use /generate-hook), NOT for absorbing external skill repos (use /equip) |
| user_invocable | true |
| argument-hint | [skill-name or one-line description of what it should do] |
Scaffolds a new skill for the Clade skill registry (configs/skills/),
encoding the Agent Skills spec rules (agentskills.io) and Clade's own
conventions so every new skill is born consistent, discoverable, and tested.
SKILL.md (discovery layer) + prompt.md (execution body)
following the frontmatter hard rules enforced by validate-skills.pyorchestrator/tests/test_routing_eval.py so triggering is CI-guardedcommitter and reminds about ./install.sh deploy/skill-new # full interview
/skill-new pdf-extract # name known, interview the rest
/skill-new "summarize meeting notes into action items"
name = directory name, kebab-case, no "claude"/"anthropic"description ≤ 1024 chars, single line, WHAT + key capabilities, no < >when_to_use carries trigger phrases users would actually type (EN + 中文),
ending with NOT for X (use /y) clauses when siblings could confuse routingSKILL.md body under 500 lines (Agent Skills spec); execution detail lives
in prompt.md, bulky reference material in references/README.md inside the skill folder