Data Flow Review
Expert review pass for data-flow / state-ownership / lifetime / boundary topology -- the lens that asks "who creates this, who owns it, who consumes it, who decides about it" at every non-trivial entity in scope, and flags mismatches between conceptual scope and instantiation scope (singleton inside a per-note constructor), wrong direction of data flow (consumer reaches up into producer), constructors that reach out into the world, hidden state via module-mutable / closure capture, identity-vs-value confusion (Hickey), wrong dependency direction (domain depending on infrastructure), missing teardown on owned objects, and boundary placement that doesn't match the natural seams. The "draw the data-flow diagram before reading the body" discipline. Especially load-bearing in a world where the implementation body is increasingly AI-written and routinely regenerated -- the topology survives replacements; the body doesn't. Reviews the current branch diff against main by default, a specific file/PR with `/data-flow-review <path>` or `/data-flow-review <PR#>`, or a git range. Auto-delegates depth to the `data-flow` subagent. Produces severity-labeled findings with file:line references plus a data-flow diagram per finding when the alternative is concrete. Does NOT post comments.
From the source SKILL.md
You are doing an expert-level review for data-flow, state-ownership, lifetime, and boundary topology. The lens is "what's the topology, does it match the concept, and would the body be replaceable without breaking it?"
What this skill does
Data Flow Review is a community-contributed Claude Code skill in the automation sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/data-flow-review/ and loads when your prompt matches the skill's trigger.
Who uses this skill
The Data Flow Review Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 117,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
How to install
Free
Manual install (2 steps)
mkdir -p ~/.claude/skills/data-flow-review
curl -L https://claudskills.com/skills/data-flow-review/SKILL.md \
-o ~/.claude/skills/data-flow-review/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/data-flow-review/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/data-flow-review/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\data-flow-review\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Telegram
📱 Install from your phone or desktop Telegram
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
Pro
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
Frequently asked questions
How do I install the Data Flow Review Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy
SKILL.md from the source repository to
~/.claude/skills/data-flow-review/SKILL.md and restart Claude Code. Both flows are detailed at
claudskills.com/install/.
What does the Data Flow Review skill do?
Expert review pass for data-flow / state-ownership / lifetime / boundary topology -- the lens that asks "who creates this, who owns it, who consumes it, who decides about it" at every non-trivial entity in scope, and flags mismatches between conceptual scope and instantiation scope (singleton inside a per-note constructor), wrong direction of data flow (consumer reaches up into producer), constructors that reach out into the world, hidden state via module-mutable / closure capture, identity-vs-value confusion (Hickey), wrong dependency direction (domain depending on infrastructure), missing teardown on owned objects, and boundary placement that doesn't match the natural seams. The "draw the data-flow diagram before reading the body" discipline. Especially load-bearing in a world where the implementation body is increasingly AI-written and routinely regenerated -- the topology survives replacements; the body doesn't. Reviews the current branch diff against main by default, a specific file/PR with `/data-flow-review <path>` or `/data-flow-review <PR#>`, or a git range. Auto-delegates depth to the `data-flow` subagent. Produces severity-labeled findings with file:line references plus a data-flow diagram per finding when the alternative is concrete. Does NOT post comments.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Data Flow Review skill?
Use Data Flow Review when your Claude Code task falls under the General category — specifically in the automation area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Data Flow Review" or describe the task and let Claude pick). Browse related skills at
/category/general/.
What is a Claude Code skill and how does the Data Flow Review skill fit in?
A Claude Code skill is a
SKILL.md file that lives under
~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Data Flow Review is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the General category. Learn more at
/learn/what-is-a-claude-skill/.
Attribution & license
Cite this skill
If you reference this skill in a blog post, paper, or documentation, you can cite it as:
APA
austintheriot. (2026). Data Flow Review [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/data-flow-review/
BibTeX
@misc{data-flow-review-2026,
author = {austintheriot},
title = {Data Flow Review [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/data-flow-review/}
}
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