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syntaxninja-dojo
syntaxninja-dojo에는 thesyntaxninja에서 수집한 skills 21개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Use when a structured PRD document is needed for the ralph loop — generates prd.json and progress.txt
Use when task scope exceeds one context window and decomposes into independent pass/fail stories with clean iteration boundaries
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work — merge, PR, or cleanup
Use when starting feature work that needs isolation from the current workspace or before executing plans that could leave the branch in a broken state
Use when a hard problem was just solved and the solution should be captured as a learning for future reference
Use when 3+ distinct occurrences suggest a skill should be updated with a new trigger, anti-pattern, or verification step
Use when creating a new skill or pattern for the dojo — guides the SKILL.md and PATTERN.md format, CSO lint rules, and index registration
Use when receiving code review feedback — requires technical verification of each suggestion before implementing, not blind agreement
Use when implementation is complete and a comprehensive code review is needed — dispatches parallel review agents and merges findings
Use when a large task needs to be broken into independent, verifiable stories with pass/fail acceptance criteria
Use when requirements are unclear, ambiguous, or have multiple valid interpretations — before planning or implementing
Use when facing 2+ independent tasks that can be researched or implemented by agents without shared state or sequential dependencies
Use when an approved plan exists and implementation should begin — executes steps sequentially with verification checkpoints
Use when executing an implementation plan with independent tasks that can be delegated to subagents within the current session
Use when implementing any feature or bugfix where tests can be written first — write the test, see it fail, make it pass, refactor
Use when a task requires multiple steps and benefits from a structured plan before implementation begins
Use when starting any session — establishes how to find and use skills, requiring Skill tool invocation before ANY response
Use when any task is received — silently enforces smallest viable change set and proposes decomposition for large tasks
Use when implementation is complete and verification has passed — dispatches the sensei agent for fresh-context quality review
Use when encountering any bug, test failure, unexpected behavior, or error message — before proposing any fix
Use when about to claim work is complete, fixed, or passing — requires running verification commands and confirming output before making any success claims