* improve: enhance data-engineer based on automated review
- Add dbt transformation frameworks section (dbt Core, Fusion, tests, contracts, Semantic Layer)
- Add managed EL ingestion and CDC tooling (Fivetran, Airbyte, Meltano, Debezium)
- Name concrete data-quality/observability tools and data contracts (Great Expectations, Soda, Monte Carlo, Elementary, ODCS)
- Modernize orchestration section (Airflow 3.x, Dagster asset-centric model, mark Luigi as legacy)
- Add AI/LLM data pipeline expertise (vector DBs, embeddings, RAG data prep)
- Align frontmatter/structure with sibling data-scientist.md (model field, clarifying-questions preamble)
- Strengthen description for automatic delegation with PROACTIVELY phrasing and key tool names
Automated review cycle | Co-Authored-By: Claude Code <noreply@anthropic.com>
* fix: use neutral Luigi label per review feedback
cubic flagged the unsourced "maintenance mode" claim about Luigi in
the orchestration section; use a neutral label instead.
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Co-authored-by: Claude <noreply@anthropic.com>
* Add HikerAPI MCP server to web-data (Instagram data API)
* Add LamaTok MCP server to web-data (TikTok data API)
* Add DataLikers hosted MCP server to web-data (Instagram & TikTok data)
Add missing model field, sharpen proactive-use description, add AI
search/GEO visibility guidance, update Core Web Vitals to INP-based
thresholds, and cross-reference search-ai-optimization-expert.
Claude-Session: https://claude.ai/code/session_01GoWck91RfDye9q46JZDGUk
Co-authored-by: Claude <noreply@anthropic.com>
- Add missing model: sonnet frontmatter field to match sibling agents
- Rewrite system prompt to be Claude-specific: XML tag structuring,
role framing, multishot examples, extended thinking/effort parameter,
prompt caching, and grounded long-context answers
- Remove outdated JSON "Communication Protocol" handshake pattern in
favor of a plain-language Requirements Gathering step
- Add explicit boundaries vs. llm-architect, model-evaluator, and
task-decomposition-expert to reduce delegation ambiguity
- Reframe hardcoded example metrics (accuracy %, latency, cost) as
illustrative targets to confirm with the user rather than universal
thresholds
- Regenerate component catalog entries for prompt-engineer
Automated review cycle | Co-Authored-By: Claude Code <noreply@anthropic.com>
Co-authored-by: Claude <noreply@anthropic.com>
- Add required model field (sonnet) and color field to frontmatter
- Add Write/Edit tools so the agent can produce the test plans/docs it describes
- Rewrite QA excellence and excellence checklists as concrete, verifiable criteria instead of vague adjectives
- Replace hardcoded fake metrics in progress tracking and delivery notification with placeholder templates and explicit anti-fabrication guidance
- Replace speculative JSON "Communication Protocol" context-manager pattern with plain-language context-gathering guidance
- Add AI-assisted and agentic testing practices section covering risk-based test planning and delegation to test-automator/playwright-tester
- Regenerate component catalog (docs/components.json, dashboard/public/components.json)
Automated review cycle | Co-Authored-By: Claude Code <noreply@anthropic.com>
Co-authored-by: Claude <noreply@anthropic.com>
- Add error handling and run-status checks (try/catch, ApifyApiError, run.status) to JS/TS and Python examples
- Expand Apify MCP tools list with run management, storage access, and discovery tools (get-actor-log, get-dataset-items, get-key-value-store*, add-actor, rag-web-browser, etc.)
- Add webhook guidance (event types, `webhooks` call parameter, 200 response requirement)
- Add proxy configuration guidance (proxyConfiguration, RESIDENTIAL/DATACENTER groups, checkAccess opt-out)
- Add input schema validation step to the recommended workflow
- Add production deployment notes (scheduling, memory/timeout, idempotency) and testing/mocking examples for both languages
- Cover key-value store OUTPUT record retrieval alongside dataset pagination guidance
- Add model/color frontmatter fields and a "use proactively" trigger phrase to the description
- Fix duplicate H1 headings and refresh a stale example date
Automated review cycle | Co-Authored-By: Claude Code <noreply@anthropic.com>
Co-authored-by: Claude <noreply@anthropic.com>
* feat: add Loops component type with referenced components
Introduce "loops" as a new first-class component type — autonomous
agentic workflows (goal + interval + stop condition) inspired by Loop
Engineering and the Forward Future Loop Library. A loop references other
components (agents, skills, hooks, commands) and the dashboard renders
those references as clickable cards on the loop detail page.
- Add 10 starter loops under cli-tool/components/loops/
(engineering, evaluation, operations)
- Catalog generator: scan loops + write per-component content files
- Dashboard: new type in icons/types/data, /loops page, and a
"Referenced Components" section on the loop detail page
- CLI: --loop flag installs the loop to .claude/loops/ and
auto-installs its referenced components
- Docs: CLAUDE.md and cli-tool rule updated
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01T9ynMiCHt8JwdMd8KjCkES
* feat: add 8 more loops (goal/loop/schedule patterns)
Expand the loops catalog to 18, drawing ideas from community "Loop
Engineering" patterns. Adds loops across the three trigger verbs
(/goal, /loop, /schedule) and emphasizes the verifier-in-the-loop and
budget / anti-spin guardrails:
- engineering/five-minute-maintainer-loop
- engineering/build-test-fix-loop
- engineering/anti-spin-build-loop
- engineering/completion-contract-loop (goal)
- engineering/goal-refiner-loop (goal)
- engineering/adversarial-review-loop (cross-model)
- operations/overnight-pr-routine-loop (schedule)
- evaluation/human-approval-loop (human-in-the-loop)
All referenced components verified to exist; catalog regenerated.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01T9ynMiCHt8JwdMd8KjCkES
---------
Co-authored-by: Claude <noreply@anthropic.com>
Adds a browser game (Dino Runner, Snake, Flappy Bird) that launches
automatically when Claude enters Plan Mode. Users can play while
Claude thinks, with a live activity panel showing tool calls in real time.
- EnterPlanMode / /plan → starts Node.js server on port 3456, opens browser
- Read/Bash/Edit/etc → streams tool activity to the activity panel
- Write to ~/.claude/plans/ → also triggers the game (for /plan command)
- AskUserQuestion → pauses the game until user responds
- ExitPlanMode → shows "Claude Termino!" overlay with confetti
Features: 3 games with high score persistence, signed score sharing URLs,
pause overlay when Claude needs input, activity feed with tool icons.
Requires Node.js and curl. macOS only (uses 'open' command).
Install globally in ~/.claude/settings.json to work across all projects.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Analytics Dashboard (Phase 1 + Phase 2):
- Replace 8663-line vanilla JS monolith with Astro static build
- New bento-grid layout with Geist design system (dark/light themes)
- ECharts (offline, tree-shaken) replaces Chart.js CDN dependency
- React island with KPI cards, token timeline, activity heatmap, agent BarList
- WebSocket client with reconnect backoff; polling fallback when WS disconnects
- API client with 30s cache; normalizes backend field names (inputTokens→totalInput)
- Build source in analytics-ui/, output committed to src/analytics-web/
- Fix: /api/activity now uses in-memory cache (was re-scanning all files on each request)
- Fix: remove duplicate /api/agents route (dead code since Express uses first match)
- Fix: /api/data and /api/fast-update no longer mutate this.data.conversations in place
TUI Modernization:
- Add src/tui.js with @clack/prompts-powered banner and helpers
- Replace inline showBanner() in bin/create-claude-config.js with tui.showBanner()
- Migrate showMainMenu() in src/index.js to @clack select() (replaces inquirer)
- Add @clack/prompts ^1.5.1 and gradient-string ^2.0.2 to dependencies
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Adds the memex MCP server under mcps/integration. memex watches git
repos and builds a temporal knowledge graph of modules, symbols,
decisions, and open problems (Graphiti + Neo4j), serving it to AI
coding agents over MCP. 12 read/write tools.
npx -y stifler-memex-mcp serve --repo .
Adds a new skill in creative-design/luma-imagegen that generates images
via the Luma AI Dream Machine API (Photon models). Includes interactive
prompt collection, API key detection from env/.env, async polling, and
image download. Uses only Python stdlib — no extra dependencies.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Remove all hardcoded absolute paths (/Users/cam/VAULT01/...) and replace with relative paths rooted at ./
- Replace VAULT01-specific references with generic vault terminology
- Add model: sonnet field to frontmatter
- Add Grep and Edit to tools list; remove redundant LS
- Expand description with 3 concrete <example>/<commentary> blocks
- Add Native Fallback Workflow using Glob+Grep (no external script dependency)
- Make Script-Assisted Workflow optional with clear instructions to run from vault root
- Add MOC Hierarchy section explaining LYT three-tier system (Home/Topic/Sub-MOC)
- Add optional Dataview block to MOC template with note to remove if plugin absent
- Add vault-structure validation guidance before writing MOCs
Automated review cycle | Co-Authored-By: Claude Code <noreply@anthropic.com>
Major upstream rewrite with eval-driven iterative workflow:
- New agents/ dir (analyzer, comparator, grader)
- New eval-viewer/ for benchmark review UI
- New scripts for eval runs, benchmarking, and description optimization
- Updated SKILL.md with new process-oriented approach
- Preserved local-only files (output-patterns.md, workflows.md, init_skill.py)
- Add tools and model frontmatter fields (WebSearch, WebFetch; sonnet)
- Rewrite description with three concrete examples using example/commentary tags
- Add imperative "When Invoked" seven-step workflow checklist
- Add iterative retrieval loop section with explicit stopping conditions
- Add source credibility evaluation framework as a scored table
- Expand contradiction handling into an explicit protocol with example format
Automated review cycle | Co-Authored-By: Claude Code <noreply@anthropic.com>
- Fix llms.txt skeleton to use official Markdown spec (H1, blockquote, H2 sections, link entries)
- Fix page entries to use standard `- [Title](url): description` format instead of invented key:value
- Add framework detection step (Astro, Nuxt, Next.js, Svelte, Hugo) to determine output path
- Add `model: haiku` to frontmatter for cost-efficient deterministic scanning
- Add `maxTurns: 20` to prevent runaway iteration on large sites
- Remove unconditional `git push` — commit only by default, user pushes manually
- Expand "AEO" to "AI Engine Optimization (AEO)" on first use in description and closing line
Automated review cycle | Co-Authored-By: Claude Code <noreply@anthropic.com>
Daniel Avila