🧩
AI EngineeringPython

Flow Next Capture

by gmickel

Flow Next Capture is an AI Engineering skill for Claude Code, published by gmickel in flow-next.

685 stars54 forkson gmickel/flow-nextAdded 2026/08/23Repository updated 2026/08/22
agentic-workflowai-agentai-workflowanthropicautonomous-agentclaude-codeclaude-code-pluginclicode-reviewcodexexecutionfactory-droidmarketplaceopenai-codexplanningpluginralph-modesdlcspec-driven-developmentworkflow
Install in seconds
Install Flow Next Capture
Copy Flow Next Capture into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/gmickel/flow-next/tree/main/plugins/flow-next/skills/flow-next-capture ~/.claude/skills/flow-next-capture

Requires Node.js. Downloads this skill only β€” not the rest of the repository β€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/gmickel/flow-next.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
plugins/flow-next/skills/flow-next-capture/SKILL.md in gmickel/flow-next
Installs to
~/.claude/skills/flow-next-capture
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering β€” 2451 skills

What Flow Next Capture does

Flow Next Capture turns recent conversation context into a flow-next spec file under `.flow/specs/` using `flowctl spec create` and `spec set-plan`. It is used when a discussion needs to be locked into a source-tagged spec before the context is lost.

Flow Next Capture is cataloged under AI Engineering on DirSkills. Flow Next Capture comes from a repository tagged agentic-workflow, ai-agent, ai-workflow, anthropic and autonomous-agent.

Documentation

README

/flow-next:capture β€” agent-native conversation β†’ spec

A free-form discussion (or a /flow-next:prospect survivor) frequently produces enough material for a complete spec, but stops short of the formal flowctl spec create + spec set-plan heredoc documented in CLAUDE.md. Without an explicit synthesis step, that context decays β€” the next session loses the conversation, the spec never lands, and the user re-explains the same idea to /flow-next:plan.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Flow Next Capture

  • What else does gmickel publish alongside Flow Next Capture?

    Flow Next Capture is one of 25 skills that DirSkills catalogs from gmickel/flow-next, the repository it ships in. Its siblings there include Codebase Feature Map, Export Context and Flow Interview. Each one is a separate skill with its own page in this directory, installs the same way Flow Next Capture does, and is maintained by gmickel in that same repository. The rest of the collection is listed on the gmickel/flow-next page.

  • How does Flow Next Capture compare to other AI Engineering skills?

    Flow Next Capture ranks #1755 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Flow Next Capture against them. Open each page to compare what they document and how they install.

More from gmickel/flow-next

Flow Next Capture is one of 25 skills cataloged on DirSkills from gmickel/flow-next.

See all 25 skills β†’
πŸ—ΊοΈ
1w ago

Codebase Feature Map

Codebase Feature Map wraps a feature-mapping CLI to generate and read semantic repo maps. Use it to enrich scout context, inspect detected features, and surface a map as a discoverability aid when one exists.
Automation
68554
πŸ“€
1w ago

Export Context

Export Context builds RepoPrompt review context and saves it as a markdown file for external LLM review. Use it when you want to share plan or implementation context with ChatGPT, Claude web, or another model.
Automation
68554
πŸ—£οΈ
1w ago

Flow Interview

Flow Interview conducts a deep interview about a spec, task, or spec file to capture implementation details before work begins. Use it to refine requirements, clarify scope, and write the results back through Flow task tracking.
AI Engineering
68554
πŸ—£οΈ
1w ago

Flow Interview

Flow Interview conducts a thorough interview about a task, spec, or spec file to capture unresolved implementation details. Use it before building when requirements need refinement or clarification.
AI Engineering
68554
🧠
1w ago

Flow Next Audit

Flow Next Audit reviews `.flow/memory/` entries against the current codebase and decides whether to keep, update, consolidate, replace, or delete each one. Use it to refresh stale memory and resolve overlapping entries.
AI Engineering
68554
🧠
1w ago

Flow Next Audit

Flow Next Audit reviews `.flow/memory/` entries against the current codebase and decides whether to keep, update, consolidate, replace, delete, or harden each one. Use it when memory entries may be stale, overlapping, or ready to become a gate.
AI Engineering
68554