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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.

146395matching public profiles
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146395 candidates
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C
61fit
compound skill by sebastiaanwouters/dotagents

Knowledge retrieval, storage, and design system management for iterative agent loops. Use 'compound retrieve' at start, 'compound store' at end, 'compound design' for UI consistency. Prevents duplicates, manages size, keeps docs organized.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
C
61fit
computer-use-agents skill by omer-metin/skills-for-antigravity

This skill helps you build AI agents that control computers and GUI elements securely and effectively across vision-based tasks.

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.
C
61fit
conductor-pro skill by yuniorglez/gemini-elite-core

This skill coordinates multiple specialized agents to orchestrate complex workflows, reducing context switches and accelerating plan-driven project tracking.

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
C
61fit
constraints-scheduling skill by letta-ai/skills

This skill helps you solve multi-person scheduling problems with complex constraints by systematically extracting constraints, generating granularity-aware

playbooksskillpending
Trust
Needs review
Install
MCP ready
Top risk
Medium risk · Important install, trust, or metadata evidence is still thin.
MCPHTTPCLIWorkflow automation
C
61fit
consultant skill by nicknisi/claude-plugins

Multi-model AI consultation and research. Supports CONSULTATION MODE (ask single expert), RESEARCH MODE (parallel multi-agent), or DELIBERATION MODE (agents debate and refine). USE WHEN user says 'ask gemini', 'consult codex' (consultation), 'do research' (research), or 'deliberate on' (deliberation).

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

This skill helps you apply context-driven testing decisions by analyzing project context and adapting methods to fit constraints and risks.

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.