design-review
Skill12 starsChanged 5 months agoMITView on GitHub
Orchestrates a structured design review, running the other skills as a diagnostic funnel from complexity triage to a full red-flags sweep. Use when the user asks for a comprehensive or prioritized design assessment of a file, module, or PR. Not for an open-ended \"anything off here?\" or \"take a look at this\" prompt that names no review goal (use red-flags), a plain diff review before merge or analyzing how code changed over time (use code-evolution), or applying one specific lens (use that skill directly).
155 other projects use a version of this.
Adopted by
Most recently taken up by
- KarstenKreh/Standby.Designtheir own version, first seen Nov 8, 2026
- ldaume/agentic-engineering-harnesstheir own version, first seen Nov 8, 2026
- marnickvda/pop-quiztheir own version, first seen Nov 8, 2026
- DrBradStanfield/roadmaptheir own version, first seen Nov 8, 2026
- ainurdev/mystical-assistanttheir own version, first seen Nov 8, 2026
- openclaw/openclaw-enterprisetheir own version, first seen Nov 8, 2026
Used with
Projects with it also use project-stage-detect, team-audio and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
CoralGameSkillproject-stage-detect
Automatically analyze project state, detect stage, identify gaps, and recommend next steps based on existing artifacts.
Also in 16 projects that use this
CoralGameSkillteam-audio
Orchestrate audio team: audio-director + sound-designer + technical-artist + gameplay-programmer for full audio pipeline from direction to implementation.
Also in 13 projects that use this
julianoczkowskiSkillbrief-to-tasks
Break a design brief into an ordered checklist of independently buildable tasks using vertical slices. Saves as a markdown checklist. Use when user wants to break down work, create tasks from a brief, plan implementation order, or mentions "tasks" or "breakdown".
Also in 7 projects that use this
lilangMaxSkillasset-spec
Generate per-asset visual specifications and AI generation prompts from GDDs, level docs, or character profiles. Produces structured spec files and updates the master asset manifest. Run after art bible and GDD/level design are approved, before production begins.
Also in 10 projects that use this
lilangMaxSkillcreate-control-manifest
After architecture is complete, produces a flat actionable rules sheet for programmers — what you must do, what you must never do, per system and per layer. Extracted from all Accepted ADRs, technical preferences, and engine reference docs. More immediately actionable than ADRs (which explain why).
Also in 10 projects that use this
- +4 more from CoralGame
- +3 more from lilangMax
Other versions155 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 155
- garrytan/gstack★ 141ksame name
- Donchitos/Claude-Code-Game-Studios★ 27ksame name
- plugin87/ux-ui-agent-skills★ 3.1ksame name
- DenchHQ/DenchClaw★ 1.7ksame name
- DenchHQ/ironclaw★ 1.7ksame name
- me2resh/apexyard★ 542same name
- julianoczkowski/designer-skills★ 536same name
- openclaw/openclaw-enterprise★ 454same name
- AndrewDryga/emisar★ 392same name
- TheDecipherist/claude-code-mastery-project-starter-kit★ 337same name
145 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository16 other files it gives its agents.
- AGENTS.mdAGENTS.md
- abstraction-qualitySkill
- code-evolutionSkill
- comments-docsSkill
- complexity-recognitionSkill
- deep-modulesSkill
- design-it-twiceSkill
- diagnoseSkill
- error-designSkill
- general-vs-specialSkill
- information-hidingSkill
- module-boundariesSkill
- naming-obviousnessSkill
- pull-complexity-downSkill
- red-flagsSkill
- strategic-mindsetSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 129 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 10
When invoked with $ARGUMENTS, scope the entire review to the specified target.
- Distinctive: line 49
naming-obviousness: Do names create precise mental images?
- Distinctive: line 50
comments-docs: Do comments capture what the code cannot say (intent, rationale, constraints)?
- Distinctive: line 54
Run the full red-flags 17-flag checklist against the target.
- Distinctive: line 58
If Phase 1 finds no measurable complexity AND Phase 5 triggers zero flags, stop.
“Common” is measured: kept by at least 6 in 10 of the 129 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Design Review Orchestrator
When invoked with $ARGUMENTS, scope the entire review to the specified target. Read the target code first, then proceed through the phases below in order. This skill orchestrates other skills from Clairvoyance (https://clairvoyance.fyi). It works best when the full collection is installed.
This skill does not replace individual lenses. It sequences them into a diagnostic funnel that moves from broad to narrow, skipping work when early phases find nothing actionable.
Diagnostic Funnel
Phase 1: Complexity Triage
Apply complexity-recognition checks against the target.
- Identify the three symptoms: change amplification, cognitive load, unknown unknowns
- Trace any symptoms to root causes: dependencies or obscurity
- Weight findings by the complexity formula: high-traffic code first
This phase determines whether the target has measurable complexity problems. If it does, subsequent phases diagnose where.
Phase 2: Structural Review
Apply these lenses to the target's module-level architecture:
- module-boundaries: Are the boundaries drawn around knowledge domains or around steps in a process?
- deep-modules: Does each module provide powerful functionality behind a simple interface? Check for classitis, pass-through methods and shallow wrappers.
- abstraction-quality: Does each layer provide a genuinely different way of thinking, or do adjacent layers duplicate the same abstraction?
Focus on the modules that Phase 1 identified as highest-complexity. If Phase 1 found nothing, scan the largest or most-connected modules.
Phase 3: Interface Review
Apply these lenses to the interfaces exposed by the modules from Phase 2:
- information-hiding: Does the interface leak implementation details? Check for back-door leakage (shared knowledge not in any interface).
- general-vs-special: Does the interface mix general-purpose mechanisms with special-case knowledge? Check for boolean parameters serving one caller.
- pull-complexity-down: Are callers forced to handle complexity the module could absorb? Check for exposed edge cases, required configuration and exceptions that could be defined away.
- error-design: Are errors defined out of existence where possible? Check for catch-and-ignore, overexposed exceptions and error handling longer than the happy path.
Phase 4: Surface Review
Apply these lenses to naming and documentation:
- naming-obviousness: Do names create precise mental images? Check the isolation test: seen without context, could the name mean almost anything?
- comments-docs: Do comments capture what the code cannot say (intent, rationale, constraints)? Check for comments that repeat code and implementation details contaminating interface documentation.
Phase 5: Red Flags Sweep
Run the full red-flags 17-flag checklist against the target. Any flag triggered in Phases 1-4 will already be marked. This phase catches flags that earlier phases may not have surfaced (especially Process flags 15-17: No Alternatives Considered, Tactical Momentum, Catch-and-Ignore).
Early Termination
If Phase 1 finds no measurable complexity AND Phase 5 triggers zero flags, stop. Report the target as clean. Do not force findings where none exist.
Prioritization
Rank findings in this order:
- Syndrome clusters: Multiple flags pointing to the same root cause (e.g., information leakage + conjoined methods + repetition all stemming from one misplaced boundary). These indicate systemic issues. Fixing the root cause resolves all flags in the cluster.
- Boundary issues: Information leakage, module boundary problems and abstraction mismatches. These compound over time and infect adjacent code.
- Canary flags: Hard to Pick Name, Hard to Describe, Non-obvious Code, No Alternatives Considered. These are the cheapest signals. Catch them and the structural flags never materialize.
- Structural issues: Shallow modules, pass-through methods, classitis. These require refactoring but affect a bounded area.
- Surface issues: Naming and documentation problems. Important but lowest cost to fix and lowest risk if deferred.
Reviewing at Scale
The funnel above is written for one target reviewed in-conversation. When the target is an entire codebase, a large PR spanning many files, or the user asks for a "thorough" or "comprehensive" review, running it once per file in a single conversation burns context fast and serializes work that has no reason to be serial.
If Dynamic Workflows are available in this session (the user said "workflow," used the ultracode keyword, or /effort ultracode is set), build one instead of running the funnel manually file by file. See references/workflow-builder.md for how to map these five phases onto a workflow script — what fans out, what needs a barrier, and where to add adversarial verification. If workflows aren't available, fall back to running the funnel per file or module in sequence, same as a single-target review.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

