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Meta-skill for structured, multi-depth codebase exploration including architectural analysis, fast structural overviews, and deep-dive documentation workflows.
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277 skills found
Meta-skill for structured, multi-depth codebase exploration including architectural analysis, fast structural overviews, and deep-dive documentation workflows.
Create structured specifications for platform changes including GitHub issues, SDD templates, and automated type inference for infrastructure and security.
Standardized technical documentation templates for ADRs, runbooks, architecture, and knowledge transfer in AI agent workflows.
Review, fix, and resolve GitHub PR review comments automatically.
Implements Manus-style persistent markdown planning for complex workflows, project tracking, and research management to optimize agent attention and memory.
Draft and format scientific manuscripts using IMRAD structure, major citation styles (APA, AMA, Vancouver), and standardized reporting guidelines (CONSORT, STROBE, PRISMA).
Manually import markdown files into the Kurt database, fix ingestion errors, and manage document metadata via local file system synchronization.
Standardizes markdown content with active voice, precise heading hierarchies, and WCAG AA accessibility compliance for documentation, web sites, and repository files.
Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.
AI-assisted version control for code agents. Track prompts, context, and diffs automatically with MemoV to ensure full traceability without polluting your git history.
Structured parallel brainstorming agent for ideation and conceptual expansion. Uses multi-agent perspectives to evolve vague ideas into practical, actionable visions. Ideation only, not for task planning.
Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from repository issues.