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69.576 skills encontradas
dogfood
Smoke-driven fix-through loop — invoke a newly-built thing (skill, script, pipeline, install process) and fix bugs until it works or gets replanned. Binary outcome only: converge or switch gears.
google-maps-automation
Automate Google Maps tasks via Rube MCP (Composio): geocode addresses, search places, get directions, compute route matrices, reverse geocode, autocomplete, get place details. Always search tools first for current schemas.
classmarker-automation
Automate Classmarker tasks via Rube MCP (Composio). Always search tools first for current schemas.
formdesk-automation
Automate Formdesk tasks via Rube MCP (Composio). Always search tools first for current schemas.
suntzu
Tactical execution planner. Turns a strategic goal into a concrete sequence of moves — identifying leverage points, timing, terrain, and where to apply pressure for maximum effect. Distinct from stakeholder alignment strategy (Mead): Sun Tzu plans the operational campaign, not the political alignment. Triggers on: "Sun Tzu", "how do I win this", "tactical plan for", "what's the best sequence here"
endorsal-automation
Automate Endorsal tasks via Rube MCP (Composio). Always search tools first for current schemas.
emergence
Analyzes what components create together that none intended — feedback loops, contention, timing bugs, and assumption collisions.
bubble-automation
Automate Bubble tasks via Rube MCP (Composio). Always search tools first for current schemas.
zoho-bigin-automation
Automate Zoho Bigin tasks via Rube MCP (Composio). Always search tools first for current schemas.
talenthr-automation
Automate Talenthr tasks via Rube MCP (Composio). Always search tools first for current schemas.
prd-generation
Generates professional Product Requirements Documents (PRDs) following industry-standard methodologies. This skill activates when the user asks to write PRD, create a product requirements document, draft product requirements, do product planning, do feature planning, write a product spec, or create a product document. It synthesizes best practices from the Google PRD framework, the Amazon Working
cicd-hardening
CI/CD pipeline hardening for GitHub Actions and GitLab CI — trust-model (pull_request_target vs pull_request), action pinning to SHA, OIDC-based cloud access, permissions minimization, runner isolation, and supply-chain gates (SLSA provenance, signing).