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Filter the market by role, protocol, source, trust, and evidence readiness. Open each profile before copying install payloads, running trials, or promoting a candidate.

146396matching public profiles
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61fit
overkill-mission-control skill by openclaw/skills

This skill empowers OpenClaw operators to monitor agents, tasks, and documents with real-time dashboards and automated workflows for enterprise control.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
P
61fit
pair-programming skill by proffesor-for-testing/agentic-qe

This skill enables AI-assisted pair programming with real-time verification, automatic role switching, and integrated testing to boost code quality and

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
P
61fit
paper-research-assistant skill by openclaw/skills

This skill helps researchers read papers, generate structured reports, locate code and data, and scaffold reproducible experiments from PDFs.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
P
61fit
parallel-agents skill by vudovn/antigravity-kit

This skill coordinates multiple specialized agents to perform comprehensive, multi-domain analysis and implementation tasks within Antigravity.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
Show 6 more matches on this pageAdditional candidates stay folded for scanning; agents.json and the card resource links keep the full review path.
P
61fit
parallel-code-review skill by dgalarza/claude-code-workflows

This skill should be used when performing comprehensive code reviews using multiple specialized review agents in parallel. It provides patterns for concurrent execution, decision tracking to prevent redundancy, and consolidated reporting. Use when needing thorough review coverage from multiple perspectives (security, architecture, performance) or when revie...

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
P
61fit
parallel-debugging skill by wshobson/agents

This skill enables parallel investigation using the Analysis of Competing Hypotheses to identify root causes across modules and reduce debugging time.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
P
61fit
parallel-feature-development skill by wshobson/agents

This skill helps teams plan and manage parallel feature development by defining ownership, avoiding conflicts, and coordinating integration across work streams.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
P
61fit
parallel-search skill by openclaw/skills

This skill enables AI agents to perform up-to-date web searches via a powerful API, returning ranked results with concise, LLM-friendly excerpts.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
P
61fit
partykit skill by mgd34msu/goodvibes-plugin

Builds real-time multiplayer applications with PartyKit on Cloudflare's edge. Use when creating collaborative apps, games, AI agents, or stateful WebSocket servers with global low-latency deployment.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
Review support

Review links

Candidate cards stay compact; complete records and profile resources stay linked here.

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Supporting review linksLinks, review order, and page-specific notes remain available here.
Market review path
  1. 01Site contextShared review rules
  2. 02Market indexBrowse the matching inventory
  3. 03Profile pageOpen the candidate page
  4. 04Profile resourcesEvidence, setup, trust, trial, and history files

Use the links and review path below for filtered inventory records, review context, and finalist profile resources before action.

Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.

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