4,247 artifacts
Every listing is pinned to a commit and evaluated before it goes public.
Use when first encountering a new dataset — produces a structured profile (schema, missingness, distributions, outliers, gotchas) before any analysis.
Use when reviewing a proposed REST or GraphQL API change before merge — checks contract clarity, backwards compatibility, errors, pagination, auth, and naming.
Self-evolving second brain with 21 AI agent skills, 6 worker agents, and people CRM. Runtime-trust release: memory hygiene sweeps (stale-but-confident), skill post-condition checks (confident-but-unchecked), verbatim citations with adversarial verifier pass, and an autonomous content factory. Iterative skills are loop-engineered (deterministic verifiers, layered termination, in-loop context management). Inspired by Garry Tan's gstack specialist sessions and gbrain knowledge patterns. Works with Claude Code, Cursor, Kiro, Gemini CLI, Codex, and any markdown-reading agent.
Use when capturing an architecture decision so it survives turnover — produces an ADR-NNNN.md from context, options considered, and the chosen path.
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Specialized AI skills, agents, rules and hooks for modern Rails AI driven-development + Spec-Driven-Development kit + MCP
Specialized AI skills, agents, rules and hooks for modern Rails AI driven-development + Spec-Driven-Development kit + MCP
OpenTabs plugin for Amplitude analytics
Specialized AI skills, agents, rules and hooks for modern Rails AI driven-development + Spec-Driven-Development kit + MCP
Specialized AI skills, agents, rules and hooks for modern Rails AI driven-development + Spec-Driven-Development kit + MCP
Build tools for OpenTabs plugins — bundles adapters, generates tool schemas, and registers plugins
MCP server exposing Sentry production error data to Claude Code
Scaffold a new OpenTabs plugin — create MCP tools that interact with web apps through the browser
CLI for OpenTabs — start the MCP server, manage plugins, and configure your AI agent browser bridge
Generate comprehensive edge cases and test scenarios by decomposing features across 12 dimensions. Use before implementation or testing to catch issues early.
Define and generate the manual-first evidence pack for high-risk work. Covers 6 high-risk class definitions and the 5-artifact schema required before finalizing, pushing, or handing off.
Auto-formatting hooks for Python, JavaScript, Markdown, and Bash with Google-style docstrings and code quality checks.
Use when you need a read-only situation review and handoff summary of current branch state, local/remote refs, worktrees, active project plans, selected-plan hints, and suggested next checks.
Apply systematic problem-solving techniques when stuck. Use for complexity spirals, innovation blocks, recurring patterns, assumption constraints, simplification cascades, scale uncertainty.
Tavily web search and content extraction MCP with hooks and skills for optimal tool selection.
5 expert personas debate proposed changes before implementation. Catches architectural, security, performance, and UX issues early. Use before major features or risky changes.
Discover related plans for the current task: same feature folder full depth, other features active-only, general-plans active. Like vc-context-discovery but for plan artifacts.
Supabase skills for Postgres best practices, JavaScript SDK (auth, database, storage, realtime), and CLI (migrations, edge functions, local dev).
Clarify intent before RIPER-5 phase delegation. Scores ambiguity (4 signals); generates structured multi-choice questions for Tier 2. Two-mode: SIMPLE and DEEP.
Create or update a product-discovery SPEC (requirements doc) for user review. Use when turning RESEARCH findings plus user intent into a reviewable requirements artifact before INNOVATE/PLAN.
Official Stripe payment platform skills for checkout, billing, Connect, and API upgrades.
Create or update implementation plans in the repo's SIMPLE or COMPLEX format. Use when turning an idea, PRD, or approved direction into a saved plan artifact.
Generate kickoff artifacts for a multi-phase program: umbrella plan, Program Goal Charter, session-goal block, per-phase plan stubs, and the 7-step per-phase inner loop reference.
React, Next.js, and React Native best practices with web design guidelines.
Generate or update the project's authoritative repository context at process/context/all-context.md. Use when repo context is missing, stale, or contradicted by code.
Generate the post-EXECUTE closeout packet for a plan or phase. Includes archive-readiness classification, drift signal scoring, commit checkpoint recommendation, and move-on next-state recommendation.
Python best practices grounded in PEP 8, PEP 20 (Zen of Python), Google Python Style Guide, and Effective Python by Brett Slatkin.
Create polished frontend interfaces from designs/screenshots/videos. Use for web components, 3D experiences, replicating UI designs, quick prototypes, immersive interfaces, avoiding AI slop.
Use when a SPEC, INNOVATE, or VALIDATE (Layer 2) approach hinges on an unverified runtime/library/external mechanism: run a probe from the 8-family taxonomy and produce a VIABLE/NOT-VIABLE/INCONCLUSIVE VERDICT artifact.
Official Polar payment processor skills for billing, subscriptions, and local development.
Search library/framework documentation via llms.txt (context7.com). Use for API docs, GitHub repository analysis, technical documentation lookup, latest library features.
Debug systematically with root-cause analysis before fixes. Use for bugs, test failures, unexpected behavior, performance issues, CI failures, or system investigation.
Academic paper search MCP for arXiv, PubMed, IEEE, Scopus, ACM, and more. Requires Docker.
Discover and load all relevant context for the current task. Lists feature group nested files with full paths, loads process/context/ files by domain routing. Called at the start of every agent session.
Loop: find gaps → fix → repeat until agents find no gaps or a metric goal is hit. Shared loop primitive for PVL, EVL, and standalone quality runs.
Pull review comments from an Overleaf project, map them to local .tex files, and apply edits in your git-tracked repo.
Emit and validate the provisional goal block for Autopilot Mode. Owns the 9-field format and resume detection from a pasted goal block.
Your AI forgets. This remembers.
Audit active project plan files for staleness, completion, and routing truth. Use when cleaning up plans, reconciling active work, or archiving completed artifacts.
Audit project context routing, shared-skill discoverability, and Claude/Codex wiring. Use when context docs or skill surfaces move, split, or drift.
Evaluate 4 execution strategies (sequential, parallel-subagents, workflow, agent-team) for a phase or fan-out task. Outputs 7-signal score table, agent count math, cost guards, and strategy recommendation.
AI-optimized browser automation CLI with context-efficient snapshots. Use for long autonomous sessions, self-verifying workflows, video recording, and cloud browser testing (Browserbase).