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Repositório GitHub

OpenCandle

OpenCandle contém 9 skills coletadas de Kahtaf, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.

skills coletadas
9
Stars
4
atualizado
2026-07-08
Forks
1
Cobertura ocupacional
2 categorias ocupacionais · 100% classificado
explorador de repositórios

Skills neste repositório

codex-first
Desenvolvedores de software

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

2026-07-08
autoreview
Analistas de garantia de qualidade de software e testadores

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
Desenvolvedores de software

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
Desenvolvedores de software

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
Desenvolvedores de software

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
Desenvolvedores de software

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
Desenvolvedores de software

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
Desenvolvedores de software

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
Desenvolvedores de software

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