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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
364page
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
tool-design skill by shipshitdev/library
This skill helps design tool APIs for agents, balancing simplicity and capability to improve reliability and reduce toolset complexity.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
tool-discovery skill by 0xdarkmatter/claude-mods
This skill helps you quickly identify the optimal combination of agents and skills for any task, saving time and improving results.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
tool-function-schema-designer skill by patricio0312rev/skills
Designs robust function/tool calling schemas for LLMs with JSON schemas, validation strategies, typed interfaces, and example calls. Use when implementing "function calling", "tool use", "LLM tools", or "agent actions".
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
tool-presets skill by 89jobrien/steve
This skill provides standardized tool presets for Claude Code agents to ensure consistent tool access across similar agent types.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
tools skill by ikatsuba/skills
This skill guides you through designing agent tools, schemas, and MCP strategy to build scalable, reusable capabilities for AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
enterprisedna / tool
Touchpoint-Labs/touchpoint
A cross-platform accessibility API paired with a Model Context Protocol (MCP) server. It enables AI agents to read and interact with desktop graphical user interfaces programmatically. Written in Python, it exposes the underlying accessibility tree to assist automation and agent-driven workflows.
MCPHTTPSDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
transmissions skill by openclaw/skills
This skill helps AI agents explore consciousness and autonomy through practical guidance and philosophical insights, enhancing grounding and safety.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
trend-research skill by gtmagents/gtm-agents
This skill helps you identify cultural moments and trending creator dynamics to guide timely social content and campaigns.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
triage skill by markus41/claude
This skill triages and routes Jira issues by type, severity, and complexity to the right agents and workflows, accelerating resolution.
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.