3,111 artifacts
Skills, MCPs, agents, and plugins. Search to find fast, or page through the catalog.
Product discovery skills for PMs: ideation, experiments, assumption testing, feature prioritization, and customer interview synthesis.
Product marketing and growth skills: marketing ideas, value proposition statements, North Star metrics, product naming, and positioning.
Market research skills for PMs: user personas, market segmentation, sentiment analysis, and competitive analysis.
Go-to-market skills for PMs: GTM strategy, growth loops, GTM motions, beachhead segments, and ideal customer profiles.
Execution and product management skills: PRDs, OKRs, roadmaps, sprints, pre-mortems, stakeholder maps, user stories, prioritization frameworks, and more.
Data analytics skills for PMs: SQL query generation and cohort analysis. Analyze user data, generate queries, and identify retention patterns.
AI Shipping Kit — for PMs and founders accountable for AI-built code. Document a vibe-coded app, audit it for intended-vs-implemented security gaps and performance issues, and produce a reviewer-ready shipping packet.
Chrome Native-Messaging host (Node)
Statistical test selection, assumption checking, and APA-formatted reporting. Use when analyzing experimental results or writing results sections.
Academic manuscript writing with IMRAD structure, citation formatting, and reporting guidelines. Use when drafting or revising research papers.
Publication-ready scientific figure design with matplotlib and seaborn. Use when creating journal submission figures with proper formatting, accessibility, and statistical annotations.
Run the ResearchClaw autonomous research pipeline from a topic, config, and output directory.
Systematic literature review methodology including search strategy, screening, and synthesis. Use when conducting literature reviews or writing background sections.
Structured scientific hypothesis generation from observations. Use when formulating testable hypotheses, competing explanations, or experimental predictions.
Computational chemistry with RDKit for molecular analysis, descriptors, fingerprints, and substructure search. Use when working with SMILES, drug discovery, or cheminformatics tasks.
Bioinformatics with Biopython for sequence manipulation, file parsing, BLAST, and phylogenetics. Use when working with DNA/RNA/protein sequences or biological databases.
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This skill should be used when the user asks to "merge a PR", "review and merge pull requests", "integrate external contributions", "handle PR conflicts", "cherry-pick from a PR", or needs to merge GitHub PRs while maximizing contributor attribution.
This skill should be used when the user asks to "test the harness", "run integration tests", "validate features with real API", "test with real model calls", "run agent loop tests", "verify end-to-end", or needs to verify OpenHarness features on a real codebase with actual LLM calls.
Open-source Python port of Claude Code - an AI-powered CLI coding assistant
CLI for Context Hub - search and retrieve LLM-optimized docs and skills
Use when adding A2UI rendering to any AG-UI-supported framework or custom AG-UI application, scaffolding an AG-UI app that should render A2UI, adapting an AG-UI integration to emit A2UI surfaces, or wiring the AG-UI A2UI middleware/toolkit with a compatible renderer.
Security auditing for code, configs, and infrastructure. Use when the user wants to audit or improve security: scan for vulnerabilities (SQL injection, XSS, command injection, path traversal), detect hardcoded secrets and credentials, review auth and authorization, check dependencies for known CVEs, audit config files for insecure defaults, or generate security reports. Trigger on "security audit", "vulnerability scan", "code review for security", "find secrets", "check for vulnerabilities", "OWASP", "CVE", or questions about code security.
OpenCode plugin for agentmemory — full Claude Code hook parity: session lifecycle (create/idle/status/compacted/update/diff/delete/error), messages & prompts (chat.message, message.updated user+assistant, message.removed), tool lifecycle (ToolPart states with timing), part tracking (subtask, step-finish, reasoning, file, patch, compaction, agent, retry), file enrichment pipeline, permissions, task tracking (w/ priority), commands, config & model tracking. 22 hooks, 2 slash commands.
Standalone MCP server for agentmemory — thin shim that re-exposes @agentmemory/agentmemory's MCP entrypoint
Generate videos using Alibaba Wan 2.7 models (text-to-video, image-to-video, reference-to-video)
Generate and edit images using Alibaba Qwen-Image models
Generate and edit images using OpenAI GPT Image 2 model
Demo: logs tool calls with execution timing to a trace file
Demo: prints model reasoning steps to stdout
Emit QwenPaw backend lifecycle events to QwenPaw Pet Desktop.
CloudPaw —— QwenPaw 云能力增强插件。用自然语言描述需求，自动完成从资源创建到应用部署的全流程。安装后请完成以下配置：1) 在「环境变量」中配置阿里云 AK-SK（ALIBABA_CLOUD_ACCESS_KEY_ID / ALIBABA_CLOUD_ACCESS_KEY_SECRET）；2) 安装完成后请刷新当前页面以加载插件。
[DEPRECATED] Command-line interface for Cua cloud sandboxes and authentication. Use pip install cua-cli instead.
MCP Server for Computer-Use Agent (Cua)
Unified CLI for CUA - Computer-Use Agents
Server component for the Computer-Use Interface (CUI) framework powering Cua
MCP Server for CUA Documentation and Code Search
Sandboxed, co-op computer-use agents
Cua (Computer Use Agent) mono-repo
MCP file fixture
Brainstorm, plan, debug, review, and compound learnings with AI agents
Deduplicate and synthesize raw concept stubs into a tiered intellectual map (T1 Canon to T4 Riff), tracing idea evolution across sources over time. Transforms thousands of raw concept pages into a curated intellectual fingerprint.
Save any thought or content into the brain via one CLI command. The single human-facing entrypoint that replaces "put_page vs commit-then-sync vs autopilot-wait" with one command that just works.
Compile daily briefing with meeting context, active deals, and citation tracking
Generate a publication-quality PDF from any brain page via the gstack make-pdf binary. Strips YAML frontmatter, sanitizes emoji, applies running headers and page numbers. Brain page is always the source of truth; PDF is a rendering.
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis with two-column tables. Left column preserves the chapter content; right column maps every idea to the reader's actual life using brain context. Output is a single brain page at media/books/<slug>-personalized.md plus an optional PDF via brain-pdf.
Transform raw article text dumps in the brain into structured pages with executive summary, verbatim quotes, key insights, why-it-matters, and cross-references. Replaces walls-of-text with quotable, actionable brain pages.
Universal archivist for personal file archives (Dropbox/B2/Gmail-takeout/local-mount/hard-drive-dump). Filters for high-value content (the user's own writing, ideas, relationships) and surfaces it interactively. REFUSES TO RUN without an explicit gbrain.yml `archive-crawler.scan_paths:` allow-list.