Skip to main content
Run any Skill in Manus
with one click
GitHub repository

OpenCandle

OpenCandle contains 9 collected skills from Kahtaf, with repository-level occupation coverage and site-owned skill detail pages.

skills collected
9
Stars
4
updated
2026-07-08
Forks
1
Occupation coverage
2 occupation categories · 100% classified
repository explorer

Skills in this repository

codex-first
software-developers

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

2026-07-08
autoreview
software-quality-assurance-analysts-and-testers

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
software-developers

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
software-developers

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
software-developers

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
software-developers

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
software-developers

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
software-developers

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
software-developers

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