技能检索
appdeploy
Deploy web apps with backend APIs, database, file storage, AI operations, authentication, realtime, and cron jobs. Use when the user asks to deploy or publish a website or web app and wants a public URL. Uses HTTP API via curl.
agent-autonomy-primitives
Build long-running autonomous agent loops using ClawVault primitives (tasks, projects, memory types, templates, heartbeats). Use when setting up agent autonomy, creating task-driven execution loops, customizing primitive schemas, wiring heartbeat-based work queues, or teaching an agent to manage its own backlog. Also use when adapting primitives to an existing agent setup or designing multi-agent collaboration through shared vaults.
bricklink
BrickLink Store API helper/CLI (OAuth 1.0 request signing). Covers orders, store inventory (read + write), catalog, categories, colors, feedback, and push notifications.
amazon-orders
Download and query your Amazon order history via an unofficial Python API and CLI.
clawpify
Query and manage Shopify stores via GraphQL Admin API. Use for products, orders, customers, inventory, discounts, and all Shopify data operations.
image-to-relief-stl
Turn a source image (or multi-color mask image) into a 3D-printable bas-relief STL by mapping colors (or grayscale) to heights. Use when you have an image from an image-gen skill (nano-banana-pro, etc.) and want a real, printable model (STL) via a deterministic pipeline.
presale-one-pass-orchestrator
Run or supervise a one-pass Codex implementation with preflight gates, stepwise plan execution, and strict QA defect loop. Use when executing approved presale plans end-to-end in one controlled run.
camino-journey
Plan multi-waypoint journeys with route optimization, feasibility analysis, and time budget constraints. Use when you need to plan trips with multiple stops or check if an itinerary is achievable.
brainstorming-studio
# 🧠 Skill Router (Skill Orchestrator) **An explainable, deterministic meta-skill that decides _which_ skill to use, _how_ to use it, and _whether_ it is safe — before anything runs.** Skill Router operates as a **decision and governance layer above all other skills**. It inventories available skills, scores them transparently, applies safety gates, and orchestrates the optimal execution strategy — always with user visibility and control. > **No black boxes. No silent execution. No hallucinated APIs.** --- Invoke the Skill Router using natural language: - decide which skill to use - use the best skill for this - route this task automatically - orchestrate my skills - figure out the optimal approach - handle this in the most efficient way - skill router: <task> - orchestrator: <task> --- - Capture the raw user request verbatim. - Normalize into: - **Goal** — what success looks like - **Constraints** — hard requirements and prohibitions - **Urgency** — LOW / MEDIUM / HIGH - **Environment** — OS, local vs remote, runtime limits - **Risk profile** — LOW / MEDIUM / HIGH / CRITICAL - Identify required actions: - read, write, execute, network, credentials - Detect missing information and mark explicitly. - Never guess missing data. --- - Attempt to list installed skills using official platform APIs. - If unavailable, fall back to: - Directory scanning - Skill manifests (skill.json, manifest.json) - Normalize each skill into: { "id": "string", "name": "string", "description": "string", "supported_actions": [], "required_permissions": [], "risk_level": "LOW | MEDIUM | HIGH | CRITICAL", "cost_latency": { "estimated_ms": 0, "cost_hint": "FREE | LOW | MED | HIGH" }, "failure_modes": [] } If inventory is partial or empty, continue in best-effort / plan-only mode. Step 2 — Task Classification Classify into one or more: Planning / Writing Coding / DevOps Filesystem Operations Security / Auditing Data / Analysis Web / Research Automation Ideation / Brainstorming Identify disallowed actions (e.g. “no internet”, “read-only”). Step 3 — Skill Scoring Model (0–100) Component Weight Task Relevance 0–40 Environment Compatibility 0–15 Permission Fit 0–10 Latency & Cost Efficiency 0–10 Risk Alignment 0–15 Historical Success (local) 0–10 Formula Score = R + E + P + C + A + H Hard Gates Disallowed actions → score = 0 CRITICAL risk mismatch → score capped at 25 unless overridden Step 4 — Strategy Selection Choose exactly one: Single-skill execution Multi-skill pipeline Clarifying question (max 1–2) All decisions are justified. Step 5 — Safety Gates Risk ≥ HIGH → confirmation required Filesystem / Network / Credentials → preview required External APIs → data disclosure + consent Missing permissions → degrade or abort safely Step 6 — Execution & Fallback Execute selected skill(s). On failure: Analyze error Retry with next-best candidate (max 2 attempts) Never escalate risk without new confirmation. Step 7 — Reporting & Learning Generate a structured report. Optionally store a local-only history record. Secrets are always redacted. 📊 Output Format (STRICT) 🧠 Skill Router Report 1. Task Analysis <ICON> <STATUS> — <summary> 2. Skill Candidates <ICON> <STATUS> — <top skills + scores> 3. Selection Strategy <ICON> <STATUS> — <chosen approach> 4. Safety Check <ICON> <STATUS> — <confirmation required?> 5. Execution Result <ICON> <STATUS> — <outcome> 6. Fallback Handling <ICON> <STATUS> — <none / attempted> 7. Learning Log <ICON> <STATUS> — <stored / skipped> Scoreboard: Primary: XX/100 Alternative: YY/100 Icons: ✅ PASS ⚠️ WARN ❌ FAIL 🛑 CONFIRM ⏭️ SKIP 🔁 Auto-Action Flow Always display the report first. If confirmation is required, ask: Proceed? (yes / no / pick) yes → execute no → abort pick → user selects skills or steps 🧩 Action Recipes Listing Skills (No API) Scan directories Parse manifests Never infer capabilities Force a Specific Skill override router: <skill-id> Full safety gates still apply Disable a Skill Add to local denylist Excluded from scoring Dry-Run Mode Perform Steps 0–5 only No execution Verbose Diagnostics Full scoring breakdown Inventory source Redaction log Reset History Clears local history only 🧠 Extension Module — Brainstorming Mode (Optional) Multi-Agent Brainstorming Orchestrator: Business / Strategy Agent Market / Execution Agent Rounds: Idea generation Critique & risk Synthesis Requires explicit consent before external API usage. 🔒 Safety & Guarantees No destructive actions without confirmation No silent data exfiltration No automatic skill installation No permission bypass No hallucinated APIs 🚫 What This Skill Does NOT Do Does not replace human judgment Does not train ML models Does not auto-install dependencies Does not bypass permissions 📚 Reference & Rationale Skill Router introduces a deterministic, auditable decision layer for agent skills. It improves: Safety Reliability User trust Execution success rates This is governance for agent skills — done right. --- ✔️ Cria o arquivo **SKILL.md** ✔️ Encoding **UTF-8** ✔️ 100% compatível com **ClawHub / GitHub / GitLab** ✔️ Visual premium (headings, tabelas, blocos, ícones) --- Posso: - Ajustar para **rating máximo no review ClawHub** - Gerar `README.md` (marketing) - Criar `CONTRIBUTING.md` - Criar checklist de aprovação - Revisar linguagem para **nível enterprise** Só mandar 🚀