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context7-mcp

Fetch current library docs via Context7 MCP instead of training data. Use when user asks about frameworks, APIs, setup, or code examples for React, Next.js, Prisma, etc.

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Prix non confirmé★ 163 Stars GitHubRegistre mis à jour · 4 sept. 2026agent-skill

Vue d’ensemble

Fetch current library docs via Context7 MCP instead of training data. Use when user asks about frameworks, APIs, setup, or code examples for React, Next.js, Prisma, etc.

Lire la documentation complète

Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

Context7 MCP

HARD GATE — Max 3 Context7 tool calls per user question (resolve-library-id + query-docs count toward the cap). On quota/rate-limit errors, emit an explicit CONTEXT7_UNAVAILABLE block — do NOT silently answer from training data.

HARD GATE — Before HTTP fetch, check bash scripts/lib/doc-fetch-cache.sh get "<libraryId>:<query>". Cache hit within TTL → use cached body (no round-trip). On ETag mismatch after conditional refresh, replace cache entry.

When to Use

Setup/configuration questions ("How do I configure Next.js middleware?")
Code involving libraries ("Write a Prisma query for…")
API references ("What are the Supabase auth methods?")
User mentions specific frameworks (React, Vue, Svelte, Express, Tailwind, etc.)

Bounded Retry (max 3x)

Attempt	Action
1	`resolve-library-id` → pick best match
2	`query-docs` with selected `libraryId`
3	Retry `query-docs` once with refined query (narrower scope)

After 3 failures, stop and print:

CONTEXT7_UNAVAILABLE
Reason: <quota|rate-limit|no-match|timeout>
Action: Ask user to retry later, paste official docs URL, or run `bts docs <lib>`.
Do NOT substitute training-data answers without labeling them UNVERIFIED.

Fetch Cache (ETag-revalidated)

Cache key: "<libraryId>:<normalized-query>" (lowercase, trimmed).
Read: bash scripts/lib/doc-fetch-cache.sh get "<key>" — exit 0 → use cached body.
Miss / stale: call query-docs; store via doc-fetch-cache.sh put.
TTL: 300s default (DOC_CACHE_TTL). Stale entries refresh on next fetch; honor ETag when MCP returns it.

bts docs <lib> shares the same cache helper when invoked from this skill.

Process

resolve-library-id with libraryName + full user query.
Select match: name similarity, reputation, benchmark score; prefer version-specific IDs when user names a version.
query-docs with libraryId + specific question (one concept per call).
Answer using fetched docs; cite library/version when relevant.

Verify

→ verify: test -f scripts/lib/doc-fetch-cache.sh

Voir la source ↗

Métadonnées du fichier

name: context7-mcp
model: haiku
description: "Fetch current library docs via Context7 MCP instead of training data. Use when user asks about frameworks, APIs, setup, or code examples for React, Next.js, Prisma, etc."

Voir le texte original

---
name: context7-mcp
model: haiku
description: "Fetch current library docs via Context7 MCP instead of training data. Use when user asks about frameworks, APIs, setup, or code examples for React, Next.js, Prisma, etc."
---

# Context7 MCP

> **HARD GATE** — Max **3** Context7 tool calls per user question (`resolve-library-id` + `query-docs` count toward the cap). On quota/rate-limit errors, emit an explicit **CONTEXT7_UNAVAILABLE** block — do NOT silently answer from training data.
>
> **HARD GATE** — Before HTTP fetch, check `bash scripts/lib/doc-fetch-cache.sh get "<libraryId>:<query>"`. Cache hit within TTL → use cached body (no round-trip). On ETag mismatch after conditional refresh, replace cache entry.

## When to Use

- Setup/configuration questions ("How do I configure Next.js middleware?")
- Code involving libraries ("Write a Prisma query for…")
- API references ("What are the Supabase auth methods?")
- User mentions specific frameworks (React, Vue, Svelte, Express, Tailwind, etc.)

## Bounded Retry (max 3x)

| Attempt | Action |
|---------|--------|
| 1 | `resolve-library-id` → pick best match |
| 2 | `query-docs` with selected `libraryId` |
| 3 | Retry `query-docs` once with refined query (narrower scope) |

After 3 failures, stop and print:

```
CONTEXT7_UNAVAILABLE
Reason: <quota|rate-limit|no-match|timeout>
Action: Ask user to retry later, paste official docs URL, or run `bts docs <lib>`.
Do NOT substitute training-data answers without labeling them UNVERIFIED.
```

## Fetch Cache (ETag-revalidated)

1. **Cache key:** `"<libraryId>:<normalized-query>"` (lowercase, trimmed).
2. **Read:** `bash scripts/lib/doc-fetch-cache.sh get "<key>"` — exit 0 → use cached body.
3. **Miss / stale:** call `query-docs`; store via `doc-fetch-cache.sh put`.
4. **TTL:** 300s default (`DOC_CACHE_TTL`). Stale entries refresh on next fetch; honor `ETag` when MCP returns it.

`bts docs <lib>` shares the same cache helper when invoked from this skill.

## Process

1. `resolve-library-id` with `libraryName` + full user `query`.
2. Select match: name similarity, reputation, benchmark score; prefer version-specific IDs when user names a version.
3. `query-docs` with `libraryId` + specific question (one concept per call).
4. Answer using fetched docs; cite library/version when relevant.

## Verify

→ verify: `test -f scripts/lib/doc-fetch-cache.sh`

Examiner la source

Prix et coûts d’utilisation

Obtenir le skill: Prix non confirmé
L’utiliser: Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
Licence: MIT
Prix non confirmé: Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.

Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →

Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 163 stars, 13 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

Répertorié

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: danielvm-git/bigpowers
Licence: MIT
Version: 1.0.0
Dernier push GitHub: 1 sept. 2026
Registre mis à jour: 4 sept. 2026
Chemin des instructions: .cline/skills/context7-mcp/SKILL.md @ 0e071af3e003

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

66/100

Prometteur

Confiance

64/100

Sandbox uniquement

Audit

76/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 163 stars, 13 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

Accès agent

L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.

Ouvrir l’API d’installation Format texte LLM Ouvrir Manifest Plan de résolution auto

Plus de détails

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Créateur: danielvm-git
Source: danielvm-git/bigpowers
Indexé par: Index communautaire OpenAgentSkill

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