adopt
Bootstrap an existing repo for ForgeDock — triage open issues, apply labels, suggest a starter milestone, and identify first…
<!-- SPDX-FileCopyrightText: Copyright (c) RapierCraft Studios --> <!-- SPDX-License-Identifier: AGPL-3.0-or-later -->
> /plugin marketplace add RapierCraftStudios/ForgeDock > /plugin install forgedock@forgedock
How it fires
How this command gets triggered: by you, by Claude, or both.
/phase-6-summaryContext preview
What this command does when you run it.
<!-- SPDX-FileCopyrightText: Copyright (c) RapierCraft Studios --> <!-- SPDX-License-Identifier: AGPL-3.0-or-later -->
user-invocable: false install: extras
<!-- SPDX-FileCopyrightText: Copyright (c) RapierCraft Studios --> <!-- SPDX-License-Identifier: AGPL-3.0-or-later -->
Print to the user:
Forge Pipeline Health — [REPO]
Score: [SCORE]/100 ([CATEGORY]) $SCORE_TREND
Pre-merge quality:
Build pass rate: [X]% (target 95%)
Findings per PR: [X] (target < 0.5)
False positive rate: [X]% (target < 10%)
Manual fix-up rate: [X]% (target < 15%)
Self-correction rate: [X]% (target < 15%)
Post-deploy quality:
Post-deploy failure rate: [X]% (target < 5%) — [N] audit findings
Review escape rate: [X]% (target < 2%) — [N] REVIEW_FALSE_NEG
Mean time to detect: [X] days (target < 7 days)
Top failure points: [FP1] ([N]), [FP2] ([N]), [FP3] ([N])
Pipeline health signals:
Issue quality score: [X]/100 (target > 80)
Invalidation rate: [X]% (target < 15%)
ISSUE_SPEC findings: [X] (target 0)
Re-investigations: [X] (target 0)
Structure compliance: [X]% (target > 80%)
Investigation accuracy: [X]% (target > 85%) — [N] issues with trajectory data
CONFIRMED: [N] | PARTIAL: [N] | INVALID: [N]
Anomalies flagged: [N] issues
Task type distribution: Bug Fix: [N], Feature: [N], Refactor: [N], Maintenance: [N]
Orchestration efficiency: [X]/100 (target > 70) — [N] sessions, [M] agents
Avg idle%: [X]% (target < 30%)
Avg resume cycles: [X] (target < 1)
Clean agent rate: [X]% (target > 60%)
Top stall boundary: [boundary] ([N] occurrences)
Original work ratio: [X]% (target > 70%)
Milestone merge rate: [X]% (target 80%)
Top defect categories: [CAT1] ([N]), [CAT2] ([N]), [CAT3] ([N])
Proposed improvements: [N] issues created in $FORGE_REPO
Health report: [ISSUE_URL]ForgeDock — autonomous AI dev pipeline for Claude Code. GitHub as agent memory: issue in, PR out.
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Audit agent outputs from an orchestration run — timeline analysis, stall detection, active vs idle time breakdown
Trace a production issue or pipeline failure end-to-end through GitHub artifacts, then file a detailed improvement issue to the…
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Guided idea-to-backlog setup for a brand-new project — interview, defaults, doubts, spike doc, validated orchestrate-ready backlog