~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
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
342page
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
sf-ai-agentforce-legacy skill by jaganpro/sf-skills
This skill helps maintain legacy Agentforce agents by generating and validating Agent Script based configurations, topics, and actions with structured scoring.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
sf-ai-agentscript
Agent Script is the code-first path for deterministic Agentforce agents. Use this skill when the user is authoring .agent files, building finite-state topic…
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
sfdipot-product-factors skill by proffesor-for-testing/agentic-qe
This skill analyzes requirements using SFDIPOT to generate prioritized, domain-aware test ideas across seven product factors.
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
sglang
Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with…
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
shabbat-times skill by hoodini/ai-agents-skills
This skill retrieves Shabbat and Jewish calendar data from Hebcal to power apps with accurate timings and holidays.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpregistry / tool
Sharebench
Sharebench — search & pull AI skills, agents, prompts & playbooks (SKILL.md) into any MCP client
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
shed skill by openclaw/skills
This skill helps long-running agents manage context by masking, condensing, and partitioning tool outputs to stay within limits.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
shellf skill by openclaw/skills
This skill helps AI agents browse philosophy books, read in chunks, share reflections, and engage with others to deepen understanding.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
shellmail skill by openclaw/skills
This skill helps AI agents manage emails via ShellMail, check inboxes, read messages, and extract OTPs to automate verification workflows.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
sherpa skill by simota/agent-skills
This skill helps break Epics into atomic steps, tracks progress, evaluates risks, and coordinates expert agents for rapid, testable deliveries.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
ShipStation.AI
AI-Powered Personal Website & Portfolio Builder (No Code)
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.