adopt
01Command
Bootstrap an existing repo for ForgeDock — triage open issues, apply labels, suggest a starter milestone, and identify first /work-on candidates.
ForgeDock — autonomous AI dev pipeline for Claude Code. GitHub as agent memory: issue in, PR out.
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Bootstrap an existing repo for ForgeDock — triage open issues, apply labels, suggest a starter milestone, and identify first /work-on candidates.
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Pull production analytics from GSC, Bing Webmaster, Clarity, Umami, Cloudflare, Stripe, and GA4 — generate insights and create actionable GitHub issues. Trigger when user says things like "check analytics", "look at prod analytics", "make issues from analytics", "what's happening on the site", "audit the site", "check…
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Audit agent outputs from an orchestration run — timeline analysis, stall detection, active vs idle time breakdown.
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Trace a production issue or pipeline failure end-to-end through GitHub artifacts, then file a detailed improvement issue to the Forge repo.
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Autonomous deploy loop — runs until zero open issues remain. Detects pipeline state and resumes from any position. Fully autonomous after invocation.
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Auto-generate release notes from merged PRs and FORGE:TRAJECTORY annotations — grouped by conventional commit type.
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Stack-aware CI gap detection — audits a project's GitHub Actions workflows against its declared tech stack and files issues for missing config validation checks.
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Sweep closed issues for stale labels, missing workflow state, and Project board gaps — plus prune worktrees, branches, and milestones.
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On-demand Claude Code compatibility and feature parity report — compares installed version against the breakpoints registry and lists affected ForgeDock features.
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Show what will deploy next — diff staging vs main with issue/PR summary, risk assessment, and deploy checklist.
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Ship a branch to its deploy target — detect or create PR, fix CI, review, merge. Returns structured result for callers.
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Run the ABC benchmark — reference URL → design-blind brief → render arms A/B/C → blind judge → scorecard with win-rates over n runs.
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Render a design from its FORGE:DESIGNSPEC, critique the rendered pixels against the perceptual negatives, and iterate until it passes or the budget is spent — the missing reward signal.
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Route a design GitHub issue through the UI Taste Harness — investigate → architect → implement → critique loop → user-feedback loop → close — accumulating FORGE:DESIGN annotations and driving the design: label state machine to design:shipped.
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Trace a failed or stalled pipeline run — identify which FORGE annotation is missing or malformed, diagnose the failure point, and suggest specific remediation steps.
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Plain-English breakdown of what happened on a GitHub issue — translates FORGE pipeline annotations into a human-readable narrative for teammates and PMs.
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Automated CI failure resolution loop — diagnoses failures on a PR, applies targeted fixes, pushes, and loops until green or max attempts reached.
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Track command sizes, detect bloat, compare against baselines and thresholds.
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AI-powered forge.yaml config generator — scans codebase, queries GitHub, auto-fills all optional sections from detection.
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Run a GEO audit — check AI referral traffic, page compliance, and auto-create improvement issues.
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Coordinate P0 incident response — hotfix validation, timeline reconstruction, and post-incident analysis.
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Create a well-structured GitHub issue that the pipeline can consume reliably.
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Create, manage, and ship milestones — the top-level planning layer for feature development.
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Analyze this repo and generate per-repo adaptive scripts from learned patterns, git history, and existing configuration.