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Found 12 Skills
AI-native software development lifecycle that replaces traditional SDLC. Triggers on "plan and build", "break this into tasks", "build this feature end-to-end", "sprint plan this", "superhuman this", or any multi-step development task. Decomposes work into dependency-graphed sub-tasks, executes in parallel waves with TDD verification, and tracks progress on a persistent board. Handles features, refactors, greenfield projects, and migrations.
Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.
Create, validate, and transition documentation artifacts (Vision, Journey, Epic, Story, Agent Spec, Spike, ADR, Persona, Runbook, Bug, Design) and their supporting docs (architecture overviews, journey maps, competitive analyses) through their lifecycle phases. Use when the user wants to write a spec, plan a feature, create an epic, add a user story, draft an ADR, start a research spike, define a persona, create a user persona, create a runbook, define a validation procedure, file a bug, report a defect, create a design, capture a wireframe, document a UI flow, sketch interaction states, update the architecture overview, document the system architecture, move an artifact to a new phase, seed an implementation plan, implement a spec, fix a bug, work on a story, or validate cross-references between artifacts. When a SPEC, STORY, or BUG comes up for implementation, always chain into the swain-do skill to create a tracked plan before any code is written. When swain-do is requested on an EPIC, VISION, or JOURNEY, decompose into implementable children first — swain-do runs on the children, not the container. Covers any request to create, update, review, or transition spec artifacts and supporting docs.
Visualize Rust project dependencies as ASCII art. Triggers on: /deps-viz, dependency graph, show dependencies, visualize deps, 依赖图, 依赖可视化, 显示依赖
Create complex directed/undirected graphs with automatic layout using DOT language. Best for dependency trees, module relationships, package hierarchies, and call graphs. Use when you need fine-grained edge routing or hierarchical layouts with many levels. NOT for simple flowcharts (use mermaid), data charts (use vega), or network topology with device icons (use network).
Multi-repository orchestration for coordinating atomic changes across dependent repositories. Tracks dependency graphs, coordinates cross-repo PRs, and detects breaking changes.
Deep code analysis for pplx-sdk — parse Python AST, build dependency graphs, extract knowledge graphs, detect patterns, and generate actionable insights about code structure, complexity, and relationships. Use when analyzing code quality, mapping dependencies, or building understanding of the codebase.
Beads (bd) distributed git-backed issue tracker for AI agents: hash-based IDs, dependency graphs, worktrees, molecules, sync, GitLab/Linear/Jira. Keywords: bd, beads, issue tracker, git-backed, dependencies, molecules, worktree, sync, AI agents.
Use when complex systems need visual documentation, mapping component relationships and dependencies, creating hierarchies or taxonomies, documenting process flows or decision trees, understanding system architectures, visualizing data lineage or knowledge structures, planning information architecture, or when user mentions concept maps, system diagrams, dependency mapping, relationship visualization, or architecture blueprints.
Analyze story dependencies, detect issues, and generate visual dependency graphs
Perform a high-level flow audit of an implementation plan, analyzing phase-to-phase dependencies, data flow consistency, ordering logic, stale artifacts, and risk assessment. Use when asked to 'audit the plan', 'check plan flow', 'review plan dependencies', 'find plan discrepancies', or 'assess plan coherence'. Do NOT use for per-phase template compliance (use /review-plan) or creating plans (use /create-plan).
Analyze multi-step tasks to identify which steps can run in parallel, build dependency graphs, detect conflicts (write-write, read-write, resource contention), and produce optimized execution plans. Triggers on 3+ independent steps, "speed up", "run simultaneously", "parallelize", "optimize" or any task where sequential execution wastes time.