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Found 10,524 Skills
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
Guided git workflows: prepare PRs, clean up branches, resolve merge conflicts, handle monorepo tags, squash-and-merge patterns. Use when asked to prepare a PR, clean branches, resolve conflicts, or tag a release.
Skill for using Fabro, the open source AI coding workflow orchestrator that lets you define agent pipelines as Graphviz DOT graphs with human gates, multi-model routing, and cloud sandboxes.
Build node-based editors, interactive diagrams, and flow visualizations using Svelte Flow. Use when creating workflow editors, data flow diagrams, organizational charts, mindmaps, process visualizations, DAG editors, or any interactive node-graph UI. Supports custom nodes/edges, layouts (dagre, hierarchical), animations, and advanced features like proximity connect, floating edges, and contextual zoom.
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.
Apply flow theory to diagnose optimal experience conditions and design environments that balance challenge and skill for sustained engagement. Use this skill when the user needs to explain why users disengage from tasks, optimize task difficulty for peak performance, design learning progressions or gamification systems, or when they ask 'why do people lose focus', 'how to design for engagement', or 'what conditions produce peak performance'.
Umbrella skill for agent work discipline across development, analysis, and documentation: inspect the repo before restructuring, keep durable truth in repo artifacts instead of chat memory, co-evolve specs/design/steering/user docs with code, apply sound coding patterns, verify work honestly, avoid shortcuts, work efficiently with subagents without hallucinating, and keep moving through the next concrete work item when the human is away. References cover coding patterns, AI-authored code review, and artifact co-evolution. Trigger when the user asks for workflow discipline, coding patterns, doc/artifact maintenance, code review of AI-authored code, project hygiene, execution guardrails, repo normalization, or when a task risks drifting across architecture, storage, specs, continuity, or tooling boundaries.
Operation history and rollback. Use when users want to track changes, create snapshots, or undo operations. Triggers: undo, redo, snapshot, rollback, history, revert, session, 工作流, Unity快照, Unity回滚, Unity撤销.
Monetize a DFlow integration by collecting a builder-defined fee on trades your app routes through the Trade API — either a fixed percentage (spot + PM) via `platformFeeBps`, or a probability-weighted dynamic fee (PM outcome tokens only) via `platformFeeScale`. Use when the user asks "how do I take a cut of trades?", "add a builder fee", "monetize my swap UI", "charge a platform fee", "how does platformFeeBps / platformFeeScale work?", or "where do my fees get paid?". Do NOT use to run a trade itself (use `dflow-spot-trading` or `dflow-kalshi-trading` — both also cover priority fees and sponsored / gasless flows).
Conversational bug discovery → issue draft. Light listening, background exploration, scope assessment. Asks before gh issue create — never auto-files. Use when conducting a QA session, triaging user-reported issues, or filing bugs.