Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: jq

Annuaire en anglais
Jc78

CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.

8.6K
Stars
78/100
Confiance
Catégorie: productivity-automationAudit
Jnv74

Interactive JSON filter using jq

6.0K
Stars
74/100
Confiance
Catégorie: devopsAudit
Mdq75

like jq but for Markdown: find specific elements in a md doc

1.7K
Stars
75/100
Confiance
Catégorie: document-processingAudit

Use when user wants to create a GitHub issue for the current repository. Must read and follow the repository's issue template format.

51K
Stars
76/100
Confiance
Catégorie: coding-agentsAudit
Aws73

A collection of bash shell scripts for automating various tasks with Amazon Web Services using the AWS CLI and jq.

1.4K
Stars
73/100
Confiance
Catégorie: devopsAudit

A Claude Code skill that bridges to Codex CLI, externalizing context into structured bundles for explicit, verifiable collaboration.

47
Stars
66/100
Confiance
Catégorie: coding-agentsAudit
Qq70

jq, but with many interoperable configuration format transcodings and interactive querying.

725
Stars
70/100
Confiance
Catégorie: data-analysisAudit

A collection of reusable AI agent skills for interacting with the JFrog Platform, enabling natural language queries for artifact search, CVE scanning, compliance, and build tracing.

18
Stars
63/100
Confiance
Catégorie: securityAudit

Manages Neo4j Aura Agents via the v2beta1 REST API — create, list, get, update, delete,

101
Stars
61/100
Confiance
Catégorie: automationAudit

Perform a standards-based code review on a GitHub Pull Request, then post the findings as inline review comments and mark the PR as 'Requested changes'. Reads all of the agents files that exist in the repository under review (AGENTS.md, .agents-docs/, CLAUDE.md on the PR's base branch) — the repo's full documented standards, not just any agents files the PR happens to change — checks the diff against them plus general best practices, and gates every write behind explicit approval. Use this skill whenever the user wants to code-review a PR, review a pull request, check a PR against standards, request changes on a PR, or gives you a GitHub PR link and asks for a review. Also triggers on: 'review this PR', 'code review', 'review PR', 'check this pull request', 'request changes', 'review against our standards', or a bare github.com/.../pull/<n> URL with review intent. This is a review-only skill — it never approves, merges, closes, or pushes code.

88
Stars
60/100
Confiance
Catégorie: coding-agentsAudit
Pxi60

🧚 pxi (pixie) is a small, fast, and magical command-line data processor similar to jq, mlr, and awk.

266
Stars
60/100
Confiance
Catégorie: data-analysisAudit