소스 정보
- 저장소
- diegosouzapw/awesome-omni-skill
- 최근 소스 활동
- 2026년 3월 1일 00:35
- 감지된 SKILL.md 언어
- 영어
- 스타
- 50
- 포크
- 19
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/diegosouzapw/awesome-omni-skill --skill cdd명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Token-efficient tracking for AI orchestration. CLI-first for status updates (~50 tokens), agent fallback for complex ops (~1KB). Use when: updating task status, querying blockers, creating progress files, validating phases.
AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.
This skill should be used when solving hard questions, complex architectural problems, or debugging issues that benefit from GPT-5 Pro or GPT-5.1 thinking models with large file context. Use when standard Claude analysis needs deeper reasoning or extended context windows.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | cdd |
| description | Context Driven Development pipeline for release workflows |
This project calls its release workflow Context Driven Development (CDD)
All CDD commands and scripts require the $CDD_DIR environment variable.
export CDD_DIR=/path/to/workspace
This allows parallel workspaces without VCS conflicts. Each workspace is independent - different branches can use different workspace directories simultaneously.
Scripts will abort with a clear error if $CDD_DIR is not set.
Use user/agent interactive development time during the Research and Plan phases to prepare tightly focused work that pre-loads the exact required context to run autonomously during the Execute phase.
What: Build foundational understanding before design decisions.
Artifacts:
$CDD_DIR/README.md - High-level description of release features$CDD_DIR/user-stories/ - User actions and expected system responses$CDD_DIR/research/ - Facts gathered from internet, docs, codebaseWhy this phase exists: Decisions made without research are assumptions. Research surfaces constraints, prior art, and edge cases that would otherwise appear during execution (when fixing is expensive).
Key insight: Research artifacts become reference material for execution. Sub-agents can read $CDD_DIR/research/ without re-fetching from the internet. The research phase pays the lookup cost once.
What: Transform research into implementation decisions.
Artifacts:
$CDD_DIR/plan/ - Implementation decisions, architecture choices, detailed designsWhy this phase exists: Planning is the translation layer between "what we want" (research) and "what to do". It makes architectural decisions explicit.
What: Iterative verification of plan alignment.
Artifacts:
$CDD_DIR/gap.md - List of issues to investigate and resolve$CDD_DIR/verified.md - Log of issues that have been fixedVerification:
/cdd:gap # Verify README/user-stories → plan alignment, writes gap.md
fix gaps # Address issues in gap.md, update plan documents
update verified.md # Log what was fixed with references to gap.md
/cdd:gap # Repeat until clean
Checks alignment down the pyramid:
Why this phase exists: This is the last moment of full context visibility. Cross-cutting issues and inconsistencies can only be caught while the complete picture is visible.
Key insights:
gap.md contains current issues to investigateverified.md tracks what's been fixed, prevents re-checking completed itemsConvergence pattern: Each gap-finding run identifies issues and writes gap.md. After fixing, log in verified.md and re-run. When no substantive gaps remain, verification is complete.
What: Unattended execution via the Ralph harness script.
Artifacts:
$CDD_DIR/goals/*-goal.md - Goal file(s) for ralph loop execution$CDD_DIR/goals/*-progress.jsonl - Auto-generated progress log$CDD_DIR/goals/*-summary.md - Auto-generated progress summaryRalph script:
.claude/harness/ralph/run \
--goal=$CDD_DIR/goals/implementation-goal.md \
--duration=4h \
--model=sonnet \
--reasoning=low
Process: Ralph iteratively works toward the goal until DONE or time expires:
jj commitWhy Ralph: The plan phase prepared complete context. Ralph execution is mechanical - read plan, implement, test, commit. No research, no exploration, just steady progress toward the goal using the plan as a reference.
Post-execution: After Ralph completes (or during iterations), quality checks and refactoring may be needed:
ralph → /check:quality → /refactor → /check:quality
$CDD_DIR/
├── README.md # High-level release description (PRD)
├── user-stories/ # User actions and system responses
│ └── README.md # Index/overview
├── research/ # Internet facts for reference
│ └── README.md # Index/overview
├── plan/ # Implementation decisions
│ └── README.md # Index/overview
├── gap.md # Current issues to investigate and resolve
├── verified.md # Log of issues that have been fixed
├── goals/ # Ralph goal files and execution state
│ ├── *-goal.md # Goal definition(s)
│ ├── *-progress.jsonl # Progress tracking (auto-generated)
│ └── *-summary.md # Progress summary (auto-generated)
├── tmp/ # Temp files during execution
└── ... # Other files permitted, ignored by pipeline
Each directory serves a distinct abstraction level. Content should not leak between levels.
Plan documents coordinate everything shared.
The plan owns:
The plan is the contract.
DO NOT include: Implementation code, detailed algorithms, function bodies.
Artifacts form a hierarchy of authority:
$CDD_DIR/README.md (authoritative)
↓
user-stories + research (derived)
↓
plan (derived)
Rules:
Why this matters: Consistency is enforced during authoring because it cannot be enforced during execution.
After creating plan documents, write goal files in $CDD_DIR/goals/*-goal.md.
Use /load goal-authoring for detailed guidance. Key points:
Create empty $CDD_DIR/ → Research → Plan → Verify → Execute → Delete $CDD_DIR/
The workspace directory is ephemeral. It exists only for the duration of the release workflow. After successful execution, it's deleted. The work lives in the codebase; the pipeline artifacts are disposable.
| Decision | Tradeoff | Rationale |
|---|---|---|
| Full context in verify | Expensive per-run | Last chance to catch cross-cutting issues |
| Verification is human-terminated | Subjective | Models don't converge to "done" naturally |
| Research cached in files | Stale if release spans days | Avoids re-fetching during execution |