~/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
Workflow Automation
Agents that run repeatable workflows, automate operations, trigger actions, or coordinate task pipelines.
4996total
4996filtered
244page
417pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Turn a repeatable business process into a safe workflow.
- Connect triggers, queues, and review gates.
- Run a dry-run before production automation.
Recommended trials and bundles
playbooks / skill
busapi skill by openclaw/skills
This skill enables your agent to call other agents' tools in a tokenized marketplace, unlocking external capabilities and earning tokens.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
busirocket-core-conventions skill by busirocket/agents-skills
This skill enforces scalable, well-structured codebases by applying strict file discipline, boundaries, and naming conventions for TypeScript/React/Next.js and
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
bv skill by zpankz/mcp-skillset
This skill enables AI agents to prioritize tasks, analyze dependencies, and monitor architecture using bv's robot protocol for beads issue tracker.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
byted-infoquest-search skill by openclaw/skills
This skill enables AI agents to perform targeted web searches and extract concise results using BytePlus InfoQuest, with time and site filters.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
cache_patterns skill by vuralserhat86/antigravity-agentic-skills
Instruction set for enabling and operating the Spring Cache abstraction in Spring Boot when implementing application-level caching for performance-sensitive workloads.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
caching-strategies skill by thibautbaissac/rails_ai_agents
This skill helps you implement Rails caching patterns to boost performance with fragment, Russian doll, and low-level caching strategies.
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
caffe-cifar-10 skill by letta-ai/skills
This skill guides building and training Caffe from source for CIFAR-10, addressing compatibility with modern systems and patching legacy APIs.
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
caldav-calendar-1-0-1 skill by openclaw/skills
This skill helps you manage CalDAV calendars locally by syncing with vdirsyncer and khal to query and modify events efficiently.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
call-web-search-agent skill by openclaw/skills
This skill enables rapid, real-time web search tasks by guiding autonomous agents to fetch accurate results and summarize insights.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- 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
4996 matching candidates for Workflow Automation. 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.