본문으로 건너뛰기
cccskills
무료GitHub에 공개

autopilot-issue-delivery-scheduler

Use this skill to queue maintainer-accepted microsoft/apm issues (`status/accepted`) and fan them out through an isolated pool (default 2) of autopilot-issue-delivery-worker sessions. Any accepted type is eligible. Advisory `triage/recommended` is not authorization. Does not triage. Does not review PRs. Works in a local session, Copilot App automation, Cloud Agent, Remote Agent, or Agentic Workflow.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

연동 도구GitHub
설치 방법 보기

포함된 파일(2)

  • SKILL.md6.7 KB
  • assets/fan-out-pool.md1.3 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

autopilot-issue-delivery-scheduler

User-facing ACCEPTED-ISSUE implementation queue. This skill SELECTS authorized issues and THROTTLES fan-out. It does not triage and does not review PRs.

Compose autopilot-issue-delivery-worker one issue per slot. Never borrow slots from autopilot-issue-triage-scheduler, autopilot-pr-review-scheduler, or autopilot-pr-triage-scheduler.

Activation card

activation_card: on. Before any queue read or spawn, emit this Enter card with every field filled. Missing field -> stop.

skill: autopilot-issue-delivery-scheduler
skill_path: <resolved directory of this SKILL.md>
mode: run
subject: microsoft/apm
path: delivery
intent: select accepted issues and fan out delivery workers
origin: unattended | actor-session
write: off
repo: microsoft/apm
fanout_limit: <positive integer>
invocation: agentic-workflow | actor-session

Rules:

  • write is always off. This scheduler never comments, labels, assigns, or requests reviewers.
  • write: on -> stop.
  • origin fail-closed unknown -> unattended.
  • invocation is the harness. Copilot App, local session, Cloud Agent, and Remote Agent are actor-session. agentic-workflow is only gh-aw / GitHub Actions. Do not copy origin into invocation.
  • One queue. Do not nest another scheduler path.

After the run, emit this Exit receipt:

skill: autopilot-issue-delivery-scheduler
subject: microsoft/apm
path: delivery
write: off
queued: <integer>
spawned: <integer>
approved: n/a

Invocation

Works in local sessions, Copilot App automations, Cloud Agent, Remote Agent, and Agentic Workflows.

Resolve ORIGIN before any GitHub write:

  • unattended -- workers still run; they must not assign.
  • actor-session -- workers treat assignment as a hard gate before any implementation. Assignment is the public signal of which user is working the issue.

Ownership writes:

  • Issue triage: none (no assignment needed)
  • Code (accepted implementation): assign the implementing user (@me)
  • PR review: request the reviewing user as reviewer, never assignee

INTENT for this scheduler is implement only as a parent signal to workers. This scheduler itself never assigns, never requests reviewers, and never writes human decision labels.

Selector

  • all (default) -- every open issue that already carries status/accepted, plus any issue the caller named as a bounded accept. Type does not matter (type/bug, type/feature, type/automation, docs, refactor). Escalate everything else. Do not run triage-panel from this scheduler.
  • bugs -- same gate, plus type/bug. Worker uses LEGIT / UNCLEAR / FIXED-AT-HEAD plus PRINCIPLES.md alignment.

type/bug or triage/recommended without status/accepted is not eligible unless the caller named a bounded accept.

Selection

Build the queue from the caller list or gh issue list on status/accepted (selector bugs: also require type/bug).

An issue is eligible for the queue only if it already carries status/accepted or the caller named it as a bounded accept. That membership is a communication signal, not implementation permission. triage/recommended and legacy status/triaged are advisory processing markers and are not authorization. Workers re-check scripts/governance/eligibility.cjs from the trusted default branch and require fresh responsible-human confirmation before any mutate. ORIGIN unattended never implements. Do not dispatch an unaccepted issue. Do not run triage-panel to create any marker. Do not write status/accepted.

Skip locked and closed issues unless the caller named them. Deduplicate by number. Do not skip bot-authored issues that already carry status/accepted or that the caller named. Human accept is the gate; author type is not.

Skip status/needs-design unless the caller named the issue. Skip status/needs-triage and status/deferred unless named. Skip status/shepherding and status/in-flight unless named (those belong to PR review or an in-flight owner). Skip issues assigned to another user unless the caller named them; do not steal in-progress work.

Do not open a second PR when one already addresses the issue; return that PR number.

After a worker opens a PR, do NOT fill this pool with autopilot-pr-merge-worker. Hand the PR number to the caller for autopilot-pr-review-scheduler.

Queue table (mandatory)

Before any spawn, emit the keep-set and the drop-set in plan.md and in the session report. Missing table, missing column, or blank rationale -> stop. Do not spawn.

Keep-set (items this run will schedule). One row per item. Do not truncate to FANOUT_LIMIT:

| number | kind | labels | rationale | slot |

Drop-set (considered, then not scheduled). slot is -:

| number | kind | labels | rationale | slot |

  • kind: issue or pr
  • labels: current GitHub labels, comma-separated; none if empty
  • rationale: why queued or dropped (helper rule and labels)
  • slot: 1-based spawn order, or - when dropped

Empty keep-set is success. Still emit the drop-set, or none. You are the sole table writer. Put selector and existing-PR facts in rationale.

Fan-out

Load assets/fan-out-pool.md. Default FANOUT_LIMIT=2 concurrent slots. Isolated to this run. FANOUT_LIMIT is concurrency, not queue length. Drain the full selected list; when a slot returns, fill it with the next item.

Procedure

  1. Probe worker-code on disk. Missing sibling -> stop.
  2. Build the queue. Emit the mandatory queue table (labels + rationale) before any spawn.
  3. Drain the selected list. Concurrent slots <= FANOUT_LIMIT. One issue per slot. When a slot returns, dispatch the next queued issue. Do not stop because the pool was full. Name each worker session Issue delivery #<issue-number>.
  4. Never auto-merge.
  5. Print a final report from the table.

Hard nos

  • Do not share this pool.
  • Do not dispatch the same issue to two slots.
  • Do not dispatch an unaccepted issue.
  • Do not dispatch an issue assigned to another user unless named.
  • Do not drop a bot-authored issue that already carries status/accepted.
  • Do not triage or review PRs inside this scheduler.
  • Do not contradict CODEOWNERS.
  • ASCII only.

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

Use this skill to run a four-panel adversarial advisory review on any pull request that touches the OpenAPM specification artifact (docs/src/content/docs/specs/openapm-*.md), its inline / sidecar JSON Schemas (docs/src/content/docs/specs/schemas/*.schema.json), or the conformance fixture seed (tests/fixtures/spec-conformance/**). The panel fans out to four spec-ecosystem reviewers (swagger-openapi-editor, oci-distribution-editor, pkgmgr-registry-contract-editor, w3c-tag-architect), each running in its own agent thread, and a spec-editor synthesizer that produces a fold-now / defer-v0.1.1 / defer-v0.2 / reject list plus a ship decision keyed off a 1..10 shocked_meter scale. The orchestrator is the sole writer to the PR: ONE consolidated comment, no verdict labels, no merge gating. The panel is advisory -- it surfaces findings, prioritizes folds, and renders a ship recommendation that the maintainer weighs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

microsoft/apm4천2026년 10월 17일 업데이트

Activate for changes to project positioning, release communication, community-facing artifacts, or breaking-change decisions in microsoft/apm. Triggers on README, MANIFESTO, PRD, CHANGELOG, release workflows, and issue templates.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

microsoft/apm4천2026년 10월 17일 업데이트

apm-usage

무료

Activate when the user asks about APM (Agent Package Manager): installing, configuring, authoring, or troubleshooting AI-agent packages, dependencies, compilation, MCP servers, policy, or any `apm` CLI command.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

microsoft/apm4천2026년 10월 17일 업데이트

auth

무료

Activate when code touches token management, credential resolution, git auth flows, GITHUB_APM_PAT, ADO_APM_PAT, AuthResolver, HostInfo, AuthContext, or any remote host authentication -- even if 'auth' isn't mentioned explicitly.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

microsoft/apm4천2026년 10월 17일 업데이트

Use this skill to post or patch ONE GitHub comment for a microsoft/apm autopilot run. It owns public vs debug body assembly and the AI disclaimer footer. Never labels, assigns, requests reviewers, or merges. Autopilot skills that write comments must load this skill and must not call gh comment APIs themselves.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

microsoft/apm4천2026년 10월 17일 업데이트

Use this skill to implement ONE microsoft/apm issue already selected by autopilot-issue-delivery-scheduler. Queue signal is `status/accepted` or a named bounded accept; that is not permission. Requires fresh human-scope evidence from scripts/governance before any mutate. May reproduce a bug, implement the accepted change, and open a fix PR. Not a queue manager and not a triage scheduler. Works in the scheduler's session, a child session, Cloud Agent, Remote Agent, or Agentic Workflow.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

microsoft/apm4천2026년 10월 17일 업데이트

microsoft의 스킬 모두 보기

이 스킬의 문제 신고