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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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12 candidates
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146396 candidates
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179 of 12200
R
61fit
react skill by sebastiaanwouters/dotagents

React v19 best practices for Vite SPA. Triggers on component design, re-renders, performance, memoization, state management, bundle optimization. Use for client-side React patterns.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
R
61fit
react-i18n skill by fusengine/agents

This skill enables React apps to implement i18n with react-i18next using TypeScript Selector API and Suspense integration for scalable translations.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
R
61fit
react-router skill by sebastiaanwouters/dotagents

React Router v7 Data Mode for Vite SPA with Convex backend. Triggers on routing, navigation, nested routes, protected routes, lazy loading. Use for client-side routing in Vite React apps.

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.
R
61fit
react-testing skill by fusengine/agents

This skill helps you write robust React tests with Testing Library by enforcing user-centric queries, realistic interactions, and MSW-based API mocking.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
R
61fit
reasoningbank-agentdb skill by chrislemke/stoffy

This skill enables adaptive learning for self-learning agents using ReasoningBank and AgentDB, improving decision-making via memory distillation and trajectory

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
R
61fit
reasoningbank-intelligence skill by chrislemke/stoffy

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.

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.

Open Market index JSON
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.

Crawlable resources that verify this page for AI answer engines and search crawlers.