Flow Parallel
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Decompose and execute large changes, migrations, or multi-issue fixes in parallel with quality gates
An agent skill is a folder of instructions, scripts and resources that an agent loads on demand. Unlike an MCP server it runs no process of its own, which makes it cheaper in context and simpler to audit.
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burgebj
Decompose and execute large changes, migrations, or multi-issue fixes in parallel with quality gates
burgebj
NLSpec authoring — use when you need a structured specification from multi-AI research and consensus
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Audit codebases for quality, consistency, and broken patterns — use for pre-release or tech debt review
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Expert multi-AI code review with inline PR comments — use for thorough quality and security analysis
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Extract patterns and anatomy from URLs — use to reverse-engineer content strategies from live pages
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Present options with trade-offs for informed decision-making — use when choosing between approaches
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Generate slide deck presentations from briefs — use when you need slides, pitch decks, or visual summaries
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Thorough research across multiple sources — use for complex topics needing broad synthesis
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Persist design documents with branch tracking, revision chains, and cross-session discovery
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Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables
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Post-ship doc sync across project markdown. Use when: sync docs, update docs, document changes, release notes.
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Wrap up a branch — run tests, create PR, merge or discard — use when implementation is done
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Lock in user goals upfront and validate outputs against them — use to prevent scope drift
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Switch to Knowledge Work mode for research and writing — use when task is non-code focused
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Craft better prompts using proven optimization techniques — use when your prompt needs refinement
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Roll back to a previous checkpoint via git — use when a change went wrong and you need to revert
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Package and finalize completed work for delivery — use when a feature is done and ready to ship
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Review code in two passes: spec compliance then quality — use for thorough PR or feature reviews
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Process screenshot-based UI/UX feedback to fix visual issues — use when users share screenshots of bugs
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System architecture and API design with multi-AI consensus — use for design reviews and new subsystems
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Run a full build-and-ship pipeline from a spec — use for hands-off project generation
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How to handle code review feedback — verify before implementing, push back when wrong, never agree blindly
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Brainstorm creatively with pattern spotting and paradox hunting — use for ideation and exploration
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Evidence before claims — run verification commands before declaring work complete, fixed, or passing