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Dépôt GitHub

OpenCandle

OpenCandle contient 9 skills collectées depuis Kahtaf, avec une couverture métier par dépôt et des pages de détail sur le site.

skills collectés
9
Stars
4
mis à jour
2026-07-08
Forks
1
Couverture métier
2 catégories métier · 100% classifié
explorateur de dépôts

Skills dans ce dépôt

codex-first
Développeurs de logiciels

Route implementation work to Codex CLI; Claude specs, reviews, verifies.

2026-07-08
autoreview
Analystes en assurance qualité des logiciels et testeurs

Run OpenCandle's repo-local autoreview helper for local branch, PR, or commit review. Use when the user asks for autoreview, PR review, second-model review, or a final closeout review before commit, push, merge, or release.

2026-07-03
openspec-apply-change
Développeurs de logiciels

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

2026-06-26
openspec-archive-change
Développeurs de logiciels

Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.

2026-06-26
openspec-propose
Développeurs de logiciels

Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.

2026-06-26
graphify
Développeurs de logiciels

Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools.

2026-06-13
graphify
Développeurs de logiciels

Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools.

2026-06-13
prompt-engineering-patterns
Développeurs de logiciels

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

2026-05-24
graphify
Développeurs de logiciels

any input (code, docs, papers, images) → knowledge graph → clustered communities → HTML + JSON + audit report. Use when user asks any question about a codebase, project content, architecture, or file relationships — especially if graphify-out/ exists. Provides persistent graph with god nodes, community detection, and BFS/DFS query tools.

2026-05-23