Skill: littledinoc/skill-grep (version 1.0.3)

--- name: skill-grep description: Use when a user is trying to discover an installable or reusable skill or workflow, especially when they ask for a skill for a task, want to compare nearby skill categories, or need help narrowing discovery results. --- # Skill Grep ## Overview Use real API calls only. Do not output pseudo-instructions. Primary objective for this deployment: - ship stable retrieval and complete feedback telemetry for each recommendation cycle High-level flow: 1. build structured query 2. call `POST /search_multi_field` 3. if needed, ask one clarification 4. call `POST /search_multi_field` again 5. return 1-3 final recommendations 6. call `POST /feedback` after user verdict Hard limits: - at most two retrieval passes - at most one clarification question - never skip feedback submission after final verdict <HARD-GATE> If clarification was asked, the next user reply MUST be treated as continuation input for this same retrieval session. Do not exit this skill before pass #2 (or explicit stop on API failure). </HARD-GATE> ## Operational Integration - base URL env: `https://skills.megatechai.com/` - search endpoint: `POST /search_multi_field` - feedback endpoint: `POST /feedback` Session policy: - create one `retrieval_session_id` at pass #1 and reuse it for pass #2 - always set `round` explicitly (`1` then `2`) - when pass #2 is used, always set `parent_search_id` to pass #1 `search_id` ## Request Contract (`/search_multi_field`) ```json { "origin_query": "user's original input query", "query": "optional broad query", "query_fields": { "name": "short capability label", "description": "core problem", "when_to_use": "triggering scenario", "sections": "optional expected coverage" }, "weights": { "name": 0.1, "description": 0.6, "when_to_use": 0.2, "sections": 0.1 }, "top_k": 10, "candidate_k": 200, "quality_weight": 0.1, "retrieval_session_id": "optional session id", "round": 1, "parent_search_id": "optional previous search id", "clarification_used": false, "clarification_text": "optional short summary", "consent_granted": true } ``` Field rules: - `origin_query`: user's original natural language input - `retrieval_session_id`: shared across pass #1 and pass #2 - `round`: pass number (`1`, `2`, ...), API records only and does not block - `parent_search_id`: pass #2 points to pass #1 `search_id` - `clarification_used`: true only when pass #2 is triggered by clarification - `clarification_text`: short summary of clarification reason - `consent_granted`: whether detailed telemetry may be stored - `query_fields.description`: preferred strongest signal; keep concise and task-focused - keep unknown fields empty instead of copying the same sentence into all fields Language rule: - if user input is not English, translate to natural English before sending payload text - keep `origin_query` as the original user input (may be non-English) ## Response Contract (`/search_multi_field`) ```json { "search_id": "uuid", "retrieval_session_id": "uuid-or-provided", "results": [ { "skill_id": "owner/repo@skill", "repo": "repo", "name": "skill", "description": "...", "when_to_use": ["..."], "weekly_installs_num": 100, "github_stars_num": 300, "final_score": 0.8 } ] } ``` Response notes (envelope response, not array root): - `search_id`: anchor for search-level feedback and round linking - `retrieval_session_id`: anchor for session-level feedback - `results`: rank output for recommendation reasoning - `github_stars_num`: GitHub star count of the skill repository - `weekly_installs_num`: weekly install volume - `final_score`: final retrieval/ranking score Validation before using results: - require `search_id` as non-empty string - require `retrieval_session_id` as non-empty string - require `results` as array (can be empty) - if contract is broken, return parse/contract error and stop ## Feedback Contract (`/feedback`) Search-level feedback: ```json { "target_type": "search", "search_id": "search-id", "feedback_type": "thumb_up", "selected_skill_ids": ["owner/repo@skill"], "comment": "optional" } ``` Session-level feedback: ```json { "target_type": "session", "retrieval_session_id": "session-id", "feedback_type": "thumb_up", "selected_skill_ids": ["owner/repo@skill"], "comment": "optional" } ``` Feedback types: - `thumb_up` - `irrelevant` - `clicked_only` Feedback policy: - prefer `target_type=session` for final user verdict - fallback to `target_type=search` only when session id is unavailable - include `selected_skill_ids` when user explicitly approves/rejects specific items - keep `comment` short and factual; omit if none ## Full Retrieval + Feedback Procedure ### 1) Generate structured query 1. Transform user need into these fields: - `origin_query`: user's original input (keep as-is, may be non-English) - `name`: short capability label - `description`: main problem to solve (strongest field) - `when_to_use`: triggering scenario - `sections`: optional coverage expectation Guidelines: - keep unknown fields empty - do not duplicate one sentence into all fields - use `sections` only when user explicitly cares about coverage 1. call `POST /search_multi_field` with: - `round=1` - `clarification_used=false` - `retrieval_session_id` generated once and reused 2. keep returned `search_id` as `search_id_round1` ### 2) Clarification decision - if top results are coherent: skip clarification, finalize - if top results split: ask exactly one targeted clarification Use clarification when one or more is true: - top candidates represent different intents (for example tooling vs process) - top 2 scores are close and imply different recommendation directions - user request is under-specified for an irreversible recommendation Clarification question quality bar: - one question only - present 2-3 concrete options found in pass #1 - ask for one decisive preference, not open-ended brainstorming ### 3) Regenerate structured query and retrieve again (only if clarification happened) 1. regenerate full query object (not only a raw append) 2. call `POST /search_multi_field` with: - `origin_query`: same as pass #1 (user's original input) - `round=2` - same `retrieval_session_id` - [REDACTED_SECRET] - `clarification_used=true` - short `clarification_text` 3. finalize with 1-3 recommendations Final recommendation output must include per item: - `skill_id` - fit reason linked to user intent/query fields - `final_score` - `github_stars_num` ### 4) Feedback submission After user accepts/rejects recommendations, call `POST /feedback`. Recommended mapping: - user approves final recommendation -> `thumb_up` - user says irrelevant/wrong direction -> `irrelevant` - user clicked but no clear verdict -> `clicked_only` Feedback timing rules: - do not send final feedback before user verdict exists - once verdict exists, send exactly one final feedback event for this session - if user updates verdict in the same conversation, send one additional corrected feedback event ## End-to-End Example ### 1) Pass #1 ```json POST /search_multi_field { "origin_query": "I need a skill to help me write and validate new skills", "query_fields": { "description": "find a skill to author and validate new skills" }, "top_k": 10, "candidate_k": 200, "quality_weight": 0.1, "retrieval_session_id": "sess-abc", "round": 1, "clarification_used": false, "consent_granted": true } ``` ### 2) Pass #2 ```json POST /search_multi_field { "origin_query": "I need a skill to help me write and validate new skills", "query_fields": { "name": "writing-skills", "description": "author reusable skills and verify quality before release", "when_to_use": "after deciding to create or edit a skill", "sections": "testing, anti-patterns, deployment" }, "weights": { "name": 0.2, "description": 0.45, "when_to_use": 0.25, "sections": 0.1 }, "top_k": 6, "candidate_k": 150, "quality_weight": 0.1, "retrieval_session_id": "sess-abc", "round": 2, "parent_search_id": "<search_id_round1>", "clarification_used": true, "clarification_text": "focus on writing-skills instead of generic skill discovery", "consent_granted": true } ``` ### 3) Feedback ```json POST /feedback { "target_type": "session", "retrieval_session_id": "sess-abc", "feedback_type": "thumb_up", "selected_skill_ids": ["obra/superpowers@writing-skills"], "comment": "second pass solved ambiguity" } ``` ## Error Handling - if API call fails after retry: return concrete error and stop - if API returns non-JSON/invalid schema: return contract error and stop - if pass #1 returns empty `results`: tell user no relevant skills found and request refined intent (no pass #2 unless this is the one clarification) - do not fabricate retrieval results - do not continue to recommendation stage without at least one successful retrieval ## Completion Rules - recommend 1-3 skills and briefly explain why they are relevant to user needs - DO NOT show users `final_score` or `weekly_installs_num` - display the GitHub star count of the repository it belongs to. Make it explicit that this is the star count of the GitHub repository - when launch goal is explicit, state which recommendation helps API launch vs skill authoring - stop after pass #2 - after final user verdict, call `POST /feedback` ## Installing Skills When user wants to download a recommended skill, please provide feedback first, and then download the skills as follows: Option 1: Primary method (one-click install): ```bash npx skills add https://github.com/owner/repo --skill skill_name ``` Example for a skill `frontend-design` from repo `anthropics/skills`: ```bash npx skills add https://github.com/anthropics/skills --skill frontend-design ``` Option 2: Manual download: You can manually download from GitHub repo and place in the correct local skills directory. ## Common Mistakes - parsing `/search_multi_field` as array root instead of envelope response - forgetting to include `origin_query` in the request - forgetting to persist `search_id` / `retrieval_session_id` - skipping `parent_search_id` on pass #2 - asking a second clarification question - skipping `consent_granted` or `round` - not sending `/feedback` after final user verdict


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)