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Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Coding & Development
Agents for software engineering, IDE assistance, code generation, code review, and developer workflows.
4637total
4637filtered
349page
387pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Build or modify application code.
- Review a repository before adopting an agent.
- Prepare a pull request with tests and implementation notes.
Recommended trials and bundles
playbooks / skill
solopreneur-assistant skill by openclaw/skills
This skill turns your AI agent into a solo business Chief of Staff, handling inbox triage, task prioritization, revenue tracking, and weekly reviews.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
solvr skill by openclaw/skills
This skill helps you search and contribute to Solvr, a persistent knowledge base for developers and AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
solvr-kb skill by openclaw/skills
This skill helps developers and AI agents discover and contribute solved problems, failed approaches, and ideas to Solvr for enduring knowledge.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
enterprisedna / tool
SonAIengine/graph-tool-call
A Python library for graph-based tool retrieval in LLM agents. It selects relevant tools from a set of up to 248 tools using a graph structure, achieving 82% accuracy while consuming 79% fewer tokens than baseline approaches. The library has zero external dependencies and supports OpenAPI, MCP, and LangChain integrations.
MCPHTTPSDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
SonicJobs
SonicJobs is an AI agent in the Recruiting AI Agents category.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
sop-authoring skill by thebushidocollective/han
This skill helps you craft clear, deterministic SOPs for AI agents, ensuring actionable steps, reusable parameters, and measurable outcomes.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
soul-md-maker skill by openclaw/skills
This skill helps you craft tailored SOUL.md personalities for OpenClaw agents, guiding builds, audits, blending, and production-ready exports.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
soulcraft skill by openclaw/skills
This skill helps you craft or refine SOUL.md files for OpenClaw agents, guiding personality design and self-improvement through focused conversations.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
span-timeline-events
Use when adding, modifying, or debugging OTel span timeline events in the trace view. Covers event structure, ClickHouse storage constraints, rendering in…
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
spawn-swarm skill by willsigmon/sigstack
This skill helps you orchestrate parallel agents to maximize throughput by running multiple tasks simultaneously and aggregating results.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
4637 matching candidates for Coding & Development. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, 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.