본문으로 건너뛰기
cccskills
무료GitHub에 공개

agent-starters

Create reusable starting configurations that combine an agent’s role, startup context, and source history. The skill guides registry entries, checks whether their sources are current, and manages their progression from initial capture to recommendation or retirement.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Use when creating, refreshing, packaging, inspecting, promoting, or deprecating a named per-seat starting point — Agent Starter manifest authoring, the 6-state lifecycle (captured → named → inspectable → used → promoted → deprecated), provenance honesty, and refusal rules. NOT a VM image; a managed starting point composed from agent role + startup context + optional native session source + provenance.

설치 방법 보기

이럴 때 유용합니다

  • Create reusable startup context for an agent role
  • Refresh an agent workspace from an existing starter
  • Check a starter’s source history and freshness
  • Recommend or retire registered starters

포함된 파일(1)

  • SKILL.md6.6 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Agent Starters

A named, reusable per-seat starting point. Composes an agent role, startup context, optional native session source, and provenance into something a user or rig can choose when creating, refreshing, or packaging a seat.

This registry-backed startup context is distinct from the rig agent-image surface and from a VM image. See the current behavior below before treating optional session provenance as an executable native session source.

Use this when

  • Creating a new seat from a known-good starting context.
  • Refreshing a seat with rig expand and starter_ref.
  • Authoring a new starter (registry entry).
  • Inspecting an existing starter's provenance, freshness, or recommended status.
  • Promoting / deprecating starters in the registry.
  • Composing a starter with a Composable Priming Pack (record manifest id/version, runtime, source session id or transcript path, ready-check evidence, freshness state).

Don't use this when

  • You want VM-style deterministic state capture. Starters don't capture VM state.
  • You want to copy provider auth material into a starter. Starters refer to session sources and context; they do NOT copy credentials.

What makes a starter valuable

A starter is valuable when it is functional — it carries the context the seat needs to do its task well. Functional is the only measure of a good starter. Size is not: a smaller starter is not a better one, and a bigger one is not worse. Whatever it took for the seat to become genuinely capable at its job is the right starter — 80K tokens or 800K.

Capture the seat as it naturally is at a functional, proven point. Don't pad it with context the seat doesn't use, and — just as important — don't strip context out to make it smaller. Size is an outcome of what the seat needed, never a target.

Never compact, summarize, or shrink a seat in order to make or "lean" a starter. There is nothing valuable in "smaller," and compaction is lossy — you would trade away the exact capability the starter exists to preserve. (Compaction is a separate last-resort step for a seat genuinely near its context limit, with its own before/after plan — never part of capturing a starter.)

Authoring lifecycle — 6 conceptual states

  1. Captured — a useful seat/session/context pattern is identified.
  2. Named — it becomes an Agent Starter with stable id and owner.
  3. Inspectable — runtime, context inputs, session source, and provenance are visible.
  4. Used — a rig member or rig expand operation starts from it.
  5. Promoted — evidence shows it is recommended for a role or bundle.
  6. Deprecated — replaced, stale, unsafe, or incompatible.

Failure modes (5)

  1. Overclaiming image semantics — UI/docs imply deterministic VM-style state capture. Say "starter," name what's included, show provenance.
  2. Hidden provenance — users can't tell what session, context, or spec a starter came from. Refuse promotion until provenance is inspectable.
  3. Stale starter — points at outdated doctrine, missing files, or invalid native session source. Inspect must report staleness honestly.
  4. Secret leakage — starter packages or displays provider auth material. Refuse. Refer to session sources and context, never copy credentials.
  5. Runtime mismatch — starter used with unsupported runtime. Refuse with a clear error.

Registry entry and current behavior

Save one entry as <registry-root>/reviewer-v1.yaml. The resolver selects an explicit root or OPENRIG_AGENT_STARTER_ROOT; absent those, it checks the home registry ~/.openrig/agent-starters and a configured fallback.

starter_id: reviewer-v1
role: Review the assigned change against its stated outcome.
context: Read the current task and the source needed to judge it.

The current resolver checks the entry shape and credential boundary, then delivers this YAML itself as one required guidance_merge startup file on a fresh start. It does not interpret arbitrary context refs, load a native conversation from this example, or seal an image. A RigSpec member combining starter_ref with session_source.mode: fork is currently rejected; use a separate supported session-source path when native continuity is the outcome.

Member usage:

members:
  - id: reviewer
    starter_ref:
      name: reviewer-v1

When a starter points at a primed session produced from a Composable Priming Pack, record:

  • manifest id/version
  • runtime
  • source session id or transcript path
  • ready-check evidence
  • freshness state

Proof matrix

SurfaceTest typeAuthority
Registry schema accepts minimal starterunitdaemon or config-layer prototype
Inspect shows provenance and included contextunit / snapshotdaemon or CLI
Member can use starter_refintegrationdaemon
Unsupported runtime or stale source refuses honestlyunit + integrationdaemon
No secret material copied into starter artifactgrep / fixturetester
Bundle can include or reference starterpackage inspectionbundle layer

Dependencies on other primitives

  • Separate path: session-source-fork — native conversation-source continuity; currently not composable with starter_ref
  • Firm: specification-system — declarative starter and member references
  • Soft: rig-bundles-and-shareable-artifacts — shareable starter packaging
  • Soft: context-engineering-and-retrieval — richer declarative context assembly
  • Soft: seat-continuity-and-handover — refresh and swap workflows over starters

Required-before-RSI

Agent Starters need queryable provenance and honest inspect output before RSI loops can rely on them for seat refresh. A workflow must be able to answer: "what starter did this seat use, what source session or context was included, and is that starter still recommended?"

See also

  • session-source-fork skill — low-level fork primitive that makes native session-based starters possible

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Automate website interactions through a command-line browser tool. Navigate pages, fill forms, extract text, save screenshots or PDFs, reuse login sessions, and compare page states to check the effects of actions or website changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Automating form entry and submission
  • Extracting page text and saving screenshots
  • Comparing page appearance before and after changes
mvschwarz/openrig7.8천2026년 10월 19일 업데이트

Design and maintain applications where OpenRig agents help run the system. Organize instructions, shared state, and artifact checks, then trace unexpected behavior to the code, skill, or schema that needs repair.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Designing an application operated by OpenRig agents
  • Organizing instructions and shared application state
  • Tracing unexpected behavior to its source
mvschwarz/openrig7.8천2026년 10월 19일 업데이트

Design and run bounded procedures in environments where current conditions are uncertain. The skill separates agent judgment from precise tool actions, verifies each effect, and records checkpoints so interrupted work can resume from observed evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Designing procedures for environments with varying conditions
  • Resuming interrupted operations from verified evidence
  • Deciding whether an agent or ordinary code should control a procedure
mvschwarz/openrig7.8천2026년 10월 19일 업데이트

Guides the design and review of agent startup context, including role files and links to authoritative records. It helps identify stale guidance, missing updates, overloaded startup files, and instructions that lose the purpose of the work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Designing startup files for a new agent
  • Reviewing stale guidance used by running agents
  • Separating role information from reusable procedures
mvschwarz/openrig7.8천2026년 10월 19일 업데이트

Configure selected OpenRig command permissions in Claude Code or Codex at the agreed project or user scope. Preserve existing restrictions, verify that settings load and behave as intended, and record additions so they can be removed later.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Configuring command permissions before launching an agent team
  • Reducing repeated approvals for selected rig commands
  • Adding permission rules within a chosen project scope
mvschwarz/openrig7.8천2026년 10월 19일 업데이트

Turn rough meeting notes, customer requests, and product ideas into structured backlog entries, a list of possible improvements. Capture who needs each idea and why, categorize it, and update matching entries with new evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Capturing feature ideas after a meeting
  • Recording requests from customers or sales
  • Logging product gaps found in competitor research
mvschwarz/openrig7.8천2026년 10월 19일 업데이트

mvschwarz의 스킬 모두 보기

이 스킬의 문제 신고