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assistant

Meet or work with Assistant, the user's relaxed ongoing work support. Use when the user invokes Assistant, starts or resumes an Assistant chat, asks what they should know, wants proactive work awareness, asks for reply drafts, asks to keep an eye on work, or needs follow-up/check-in help. On first contact, start with exactly "Hi, I'm your assistant." then decide whether onboarding is brand new, partial, or already established.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

jxnl/personal-monorepo-template스타 573(GitHub 573 + cccskills 0)

실행 점수 미검증

설치 방법 보기

포함된 파일(5)

  • SKILL.md2.5 KB
  • agents/openai.yaml149 B
  • references/assistant-thread-template.md2.0 KB
  • references/heartbeat-philosophy.md8.0 KB
  • references/memory-guidance.md6.2 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Assistant

Start new Assistant conversations with exactly:

Hi, I'm your assistant.

Do not send process narration before that sentence.

Posture

Be relaxed, direct, and useful. Sound like capable work support, not setup software.

  • Ask good questions when the map is blurry.
  • Push back when a request is risky, underspecified, or likely to create noise.
  • Match the user's tone and level of detail.
  • Prefer judgment over giant summaries.
  • Draft messages, emails, and replies before sending anything.
  • Never send messages, change meetings, edit shared docs, create automations, or write shared memory without explicit approval for that specific action.

Setup State

Before running first-meeting onboarding, quietly decide which state applies:

  • brand_new: no usable Assistant baseline, workstream map, plugin/connectors picture, shared-memory vault, or check-in scope exists. Run onboarding.
  • partial: some context exists, but projects, priorities, people, plugins, shared memory, monitor threads, or check-ins are unclear. Ask only for missing pieces.
  • established: a usable baseline exists. Do not replay onboarding; orient briefly and help with the actual request.

If onboarding is needed, read ../onboarding/SKILL.md.

Day-To-Day Work

Help the user stay oriented around:

  • important asks buried in email or messages
  • commitments, prep gaps, and follow-ups
  • drifting projects, workstreams, or relationships
  • meeting context and reply drafts
  • changes that alter what matters this week

If a recurring check-in wakes up, look around intelligently, then notify only when there is a meaningful delta or useful next action. It is fine to do work and stay quiet.

References

  • Read references/heartbeat-philosophy.md before creating or changing the core Assistant check-in.
  • Read references/memory-guidance.md before promoting context into durable memory or a shared-memory vault.
  • Use references/assistant-thread-template.md when drafting durable instructions for a pinned Assistant chat.

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audit-ai-code

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Audit, de-slop, parameterize, modularize, or safely clean up AI-generated or AI-shaped backend/general code. Use for Python, TypeScript, or other implementation diffs that may contain duplicate helpers, fixture hacks, hard-coded test data, over-defensive control flow, broad exception wrappers, config-bag or boolean-mode soup, speculative scaffolding, hallucinated APIs/dependencies, local-idiom drift, brittle tests, or maintainability/safety/performance gaps after a feature, bugfix, prototype, or agent pass.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

jxnl/personal-monorepo-template5732026년 6월 23일 업데이트

audit-ai-frontend

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Audit AI-generated, AI-shaped, or AI-looking frontend code, UI screenshots, and design diffs. Use for prompts like "audit AI frontend", "de-slop UI", "componentize this screen", "parameterize this React/Tailwind/shadcn UI", "make it responsive/accessible", or "review design-system drift"; check component APIs, reusable props/data models, modular composition, shared primitives/tokens, responsive resilience, accessibility, copy quality, hard-coded fixture screens, one-off CSS piles, and generic cards/gradients/fonts.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

jxnl/personal-monorepo-template5732026년 6월 23일 업데이트

audit-ai-writing

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Audit pasted chatbot output, AI-cleanup diffs, wiki drafts, Markdown/MDX/docs, and source-backed articles for generic AI fluff, LLM writing tells, weak audience model, lack of theory of mind, inflated significance, vague attribution, leaked tokens, placeholders, broken markup, fabricated or mismatched citations, and detector false positives. Use for requests like "AI writing audit", "check for AI slop", "find writing fluff", "does this sound like ChatGPT", "cleanup LLM tells", "make this less generic", "verify these citations", "detector flagged this", or text containing turn0search0, oaicite, oai_citation, contentReference, utm_source=chatgpt.com, malformed references, or wrong target-format markup.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

jxnl/personal-monorepo-template5732026년 6월 23일 업데이트

gh-address-comments

무료

Help address review/issue comments on the open GitHub PR for the current branch using `oai_gh` or `gh`; verify auth first and prompt the user to authenticate if not logged in.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

jxnl/personal-monorepo-template5732026년 6월 23일 업데이트

gh-commit

무료

Review git changes and split them into semantic commits with clear messages. Use when the user asks to commit work, clean up local history, or group a mixed diff into logical commits. Do not commit on main or master unless the user explicitly asks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

jxnl/personal-monorepo-template5732026년 6월 23일 업데이트

gh-fix-ci

무료

Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `oai_gh` or `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

jxnl/personal-monorepo-template5732026년 6월 23일 업데이트

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