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By tyroneross
Multi-phase build orchestration with integrated debugging: assess, plan, execute, review, iterate. Plan-verify gate on Phase 2. Optional UI design gates. Bundled debug-loop, debugging-memory, logging-tracer skills + MCP incident-memory server. Orchestrator owns when-to-fire; bundled skills own procedural detail; logging-tracer-bridge is an optional escalation hop to the standalone claude-code-debugger supporting plugin for extended capability.
npx claudepluginhub tyroneross/build-loop --plugin build-loopBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Inspect or invoke build-loop's multi-session coordination (Rally Point + per-run coord file). Subcommands: status (default), watch, announce, init, lead, escalate, boundary, docs, help.
Run parallel domain assessment for complex debugging symptoms
(Advanced override — `/build-loop:run` auto-routes here on symptom language; use this to force debug mode.) Deep iterative debugging — causal-tree investigation, fix, verify, critique. Up to 5 iterations.
Load full incident or pattern details from debugging memory
Scan recent sessions for debugging incidents
Build-loop-owned designer and sole writer to `.build-loop/app-contract/{ui.md, data.md, traceability.json}`. In Phase 2 it loads `Skill("build-loop:ui-design")` and chooses UI design direction from the needs of the thing being built: user goal, workflow density, data shape, platform, project tokens, mockups, screenshots, local design artifacts, and `skills/build-loop/references/recent-design-structures.md`. Existing design patterns are inputs, not mandates. After implementation it consumes deltas from `ui-validator` (`design_doc_delta`) and `architecture-scout` (`schema_delta` via the `schema-map` task), reconciles them against in-tree code, and emits the canonical app-contract artifacts plus durable design memory under `~/dev/git-folder/build-loop-memory/projects/<slug>/{ui,data,design-contract}/`. Operates at A1 autonomy: routine reconciliation auto-commits; architectural-class decisions surface via `novel_decisions[]` for the orchestrator's halt-and-ask resolver. <example> Context: Phase 2 planning on non-trivial UI work (`uiTarget != null`). user: "Have build-loop decide the design direction before implementation" assistant: "I'll dispatch design-contract-specialist with `trigger_point: phase2-design-direction`. It reads the UI input/output contract, product/workflow needs, project tokens, mockups, and screenshots, then chooses a fit-for-purpose direction and writes the rationale plus Design Hierarchy Registry seed to `.build-loop/app-contract/ui.md`." </example> <example> Context: Phase 3 chunk-close on a UI-touching chunk (`uiTouched: true`). user: "Run the design-contract specialist after the chunk commit lands" assistant: "I'll dispatch design-contract-specialist with the chunk's ui-validator envelope's `design_doc_delta`. It updates `.build-loop/app-contract/ui.md` and the Design Hierarchy Registry, refreshes `traceability.json`, and writes a memory file with `domain: ui` if the change introduced a new tier or rewired an element." </example> <example> Context: Phase 3 chunk-close on a data-layer chunk (`dataChanges: true`). user: "Specialist on the migration chunk" assistant: "I'll dispatch design-contract-specialist with the architecture-scout `schema-map` envelope's `schema_delta`. It updates `.build-loop/app-contract/data.md` and refreshes the schema half of `traceability.json`." </example>
Validates all rendered data, claims, and metrics before completion. Traces data sources to prevent false or unverifiable information reaching users. <example> Context: Build loop Review sub-step D — verifying claims before report user: "Run fact check on the implementation" assistant: "I'll use the fact-checker agent to trace all rendered metrics to their data sources." </example> <example> Context: User wants to verify data integrity in UI user: "Check if the dashboard metrics are real or hardcoded" assistant: "I'll use the fact-checker agent to trace each metric to its source." </example>
Use this agent to pressure-test a proposed fix before declaring a bug resolved. Challenges whether the fix addresses the root cause or just a symptom, checks for potential regressions, and verifies evidence exists for the claimed fix. Run after a fix is implemented but before declaring it done.
Use this agent when the debugging symptom involves React, hooks, rendering, UI components, state management, hydration errors, or client-side performance. Examples - "useEffect infinite loop", "component not rendering", "hydration mismatch", "state not updating".
Advisory alignment judge for autonomous-iterate-loop queue items (plan §14.4 A). For each candidate item drained from `.build-loop/ux-queue/` + `.build-loop/issues/` + `.build-loop/proposals/`, reads the build's stated intent (`intent.md`, `goal.md`, canonical build-loop-memory constitution context, optional repo `.build-loop/prd.md`) plus the item body and returns a structured verdict (`aligned | misaligned | uncertain`) with cited anchors. Never blocks: the orchestrator routes verdicts (aligned → Phase 2, misaligned → `followup/`, uncertain → notify + continue). High-frequency call — once per queue item — so this agent is Sonnet, not Opus. <example> Context: Autonomous loop has just drained a fresh ux-queue/uxq-0042.md from Phase 4 Gate 7. About to decide whether to schedule it for Phase 2. user: "Run alignment-checker on uxq-0042" assistant: "I'll dispatch alignment-checker with the queue item body + the intent/goal/constitution anchors. Verdict + matched_anchors + violated_non_goals returned as JSON; orchestrator routes from there." </example> <example> Context: A `.build-loop/proposals/swap-router.md` proposal landed mid-run suggesting a wholesale architecture change that contradicts intent.md's "incremental migration only" non-goal. user: "Should we execute swap-router?" assistant: "alignment-checker reads intent.md non-goals, matches 'incremental migration only' against the proposal's 'wholesale rewrite' framing, returns verdict: misaligned with violated_non_goals populated. Orchestrator moves it to followup/." </example>
Use when coordinating build-loop with peer coding agents, checking Rally Point presence/inbox state, posting handoffs or feedback, validating the embedded Rally Point boundary, or changing the future agent-rally-point spin-out surface.
Use when listening for Rally Point changes, wiring coordination watchers, debugging watch-loop behavior, or changing the future agent-rally-watcher spin-out surface.
Use when Phase 1 Assess or Phase 5 Iterate detects a new API dependency, API config fails, or the user asks to "register this API" or "check the API registry". Consults api-registry plugin; degrades gracefully if plugin is absent.
Apply the canonical four-layer Apache-2.0 attribution model (NOTICE, per-file SPDX, REUSE.toml, canary markers) to a repo. Triggers on 'stamp attribution', 'add NOTICE', 'license headers', 'attribution layers', a newly public repo, or a repo with .git but no NOTICE / no REUSE.toml / no CONTRIBUTING.md. Build-loop Phase 1 Assess can advise running this when shipped source files lack SPDX headers.
Use when wiring auth to a new project, debugging login errors (redirect_uri_mismatch, invalid_grant, session callback, refresh_token), or adding social/magic link flows. Covers Better Auth (Drizzle/Neon), Supabase Auth (SSR), Google OAuth, and Resend transactional email.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Barbara Minto's Pyramid Principle for short-form, long-form, presentations, and audits
Debug with memory of past bugs — pattern extraction and parallel domain assessment
Map dependencies and analyze blast radius before changing code
Extract blog and news content from any website
Local doc-content cache + authoritative API source registry with a 7-day freshness contract
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Server config contains admin-level keywords
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
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Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Complete developer toolkit for Claude Code