技能检索
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 🚀
free-ride
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korean-gov-programs
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tixflow
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email-tool
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translink-cli
Query, troubleshoot, and explain Translink SEQ GTFS static + realtime data using local translink_* commands or plugin slash commands. Use for schedule lookups, stop/route/trip joins, vehicle/trip realtime checks, alerts, schema drift review, PK/FK reasoning, and paginated filtering.
bvg-route
Route planning for Berlin public transport (BVG) using the v6.bvg.transport.rest API. Use when the user asks for: (1) route suggestions between two addresses or stops, (2) live next-departure info for a stop, (3) arrival-time–based journey planning (arrive-by or depart-at). Supports outputting 2–3 options ranked by travel time, transfers, and walking, and returning step-by-step directions and refresh tokens for live updates.
caring-courseforge
Create and manage online courses via the CourseForge API (caringcourseforge.com). Use when the user wants to create courses, modules, lessons, generate AI content, export to SCORM/xAPI, manage knowledge libraries, or interact with the CourseForge platform. Handles course building, content generation, quizzes, accessibility validation, and course export.
stripe-best-practices
Best practices for building Stripe payment integrations