g-eskayo/marvin/index
- community
Checking that the SKILL.md file is still in the repository.
Context retrieval using the manifest index. Pull only the files relevant to the current task — no full context load. Use at the start of any task to identify which boxes to open. Consult ~/.claude/manifest.json to match task keywords to tags, then read only those files.
Install
npx vskill@latest install g-eskayo/marvin/indexSKILL.md
Index — Pull the Right Boxes
Pull exactly the boxes the task needs. Nothing else.
Primary: hybrid retrieval engine
retrieve.py is the real engine — semantic (ChromaDB + Ollama) + BM25 keyword, merged via RRF, with intent-aware thresholds. Use it first.
MUST run via the venv interpreter — bare python3 lacks the deps and silently degrades to tag matching:
--intent tunes precision/recall: debug/fix/diagnose (precise), create/ideate/brainstorm (recall), plan/research/tdd (mid). Omit if unsure.
--model (optional) filters results by which Claude model can run them. Pass your current tier (haiku, sonnet, or opus) — you'll find it in your system context. Add --json for structured output.
Then load the returned paths. Check each loaded skill's calls: and load those too if the task needs them.
Fallback: manual manifest matching
If the engine prints INFO: ... tag fallback or returns nothing, match by hand:
- Read the request — extract 2–4 keywords describing the task
- Read `~/.claude/manifest.json` — scan the
index[]array - Collect entries whose
tagsintersect the task keywords - Skip any entries whose
model-scopeexcludes your current tier (check your system context for which model you're running) - Load those files — read each matched
path - Check `calls` — if a loaded skill declares
calls: [x, y], load those too if the task needs them - Proceed with only what's relevant
~/.claude/manifest.json is the unified index for all skills AND knowledge files. Each entry has name, path, tags[], optionally model-scope, and optionally calls[]. Tags use namespace:value — domain:, intent:, type:.
Tag Namespaces & Fields
| Field | Meaning | Examples | |
|---|---|---|---|
domain: (tag) | Subject area | domain:mcp, domain:debugging, domain:testing | |
intent: (tag) | What you're doing | intent:build, intent:debug, intent:plan | |
type: (tag) | Kind of file | type:skill, type:knowledge, type:memory-user | |
model-scope (field) | Model tier restrictions | sonnet+ (sonnet or better), haiku,sonnet (comma list), omitted/all (unrestricted) |
Examples
"There's a bug in the auth middleware" Keywords: debug, fix → match intent:debug, intent:fix Load: diagnose skill Also check: domain:auth entries → reference_mcp.md if MCP-related
"Let's TDD the payment feature" Keywords: tdd, test, build → match domain:testing, intent:tdd, intent:build Load: tdd skill (which calls: [diagnose] if needed)
"Help me build an MCP server" Keywords: build, mcp → match domain:mcp, intent:build Load: reference_mcp.md (knowledge) + research/build skills
Manifest Structure
Keeping the Manifest Current
Manifest is auto-generated from frontmatter. Do not edit it by hand.
When creating a new skill or memory file:
- Add
tags: [namespace:value, ...]to its frontmatter - Add
calls: [skill-name, ...]if it depends on other skills - The PostToolUse hook runs
rebuild-manifest.pyautomatically
To rebuild manually (use the venv interpreter — same dep requirement as retrieve.py):
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/index/SKILL.md
Popularity
- Repository stars
- 1
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
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