~/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
Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
15page
413pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Coordinate several agents around one outcome.
- Assign specialist roles and handoffs.
- Inspect launch packets before running a team.
Recommended trials and bundles
playbooks / skill
rails-expert skill by jeffallan/claude-skills
This skill acts as a senior Rails expert to optimize Rails 7+ apps, Hotwire, and background jobs with best practices and maintainable patterns.
MCPHTTPCLI
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
stop-slop skill by hardikpandya/stop-slop
This skill helps you remove AI tells from prose by cutting filler, varying rhythm, and stating facts directly for clearer writing.
MCPHTTPCLI
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
python-pro skill by jeffallan/claude-skills
This skill helps you build type-safe, async-first Python 3.11+ applications with production-grade patterns, tests, and robust tooling.
MCPHTTPCLI
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
shopify-expert skill by jeffallan/claude-skills
This skill helps you build Shopify themes, apps, and headless storefronts with Liquid, Storefront API, and optimized checkout flows.
MCPHTTPCLI
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
github / workflow
julep-ai/julep
Deploy serverless AI workflows at scale. Firebase for AI agents
MCPHTTPCLI
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
zeroize-audit skill by trailofbits/skills
This skill detects missing zeroization of sensitive data in C/C++/Rust code and verifies compiler-induced zeroize removals with assembly evidence.
MCPHTTPCLI
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
debug-buttercup skill by trailofbits/skills
This skill helps you diagnose and triage Buttercup CRS issues in the crs namespace by guiding log analysis, queue inspection, and failure pattern detection.
MCPHTTPCLI
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ruzzy skill by trailofbits/skills
This skill helps you fuzz Ruby code and C extensions using Ruzzy to discover memory safety and coverage issues.
MCPHTTPCLI
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
yara-rule-authoring skill by trailofbits/skills
This skill guides authoring of high quality YARA-X rules for malware detection, focusing on performance, accuracy, and safe migration.
MCPHTTPCLI
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
address-sanitizer skill by trailofbits/skills
This skill helps fuzzers detect memory errors in C/C++ code using AddressSanitizer to find overflows and use-after-free issues.
MCPHTTPCLI
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
aflpp skill by trailofbits/skills
This skill helps you accelerate fuzzing of C/C++ projects using AFL++'s multi-core capabilities and mature tooling for efficient coverage.
MCPHTTPCLI
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
algorand-vulnerability-scanner skill by trailofbits/skills
This skill scans Algorand smart contracts for 11 vulnerabilities, delivering actionable findings and fixes to strengthen TEAL and PyTeal security.
MCPCLISDK
- Fit
- 73 / 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
4955 matching candidates for Multi-agent Orchestration. 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.