SkillAtlasSkill 详情

design

Essays and writing behind this toolkit live at vexjoy.com.

审核状态:已审核Quality 72Security 90

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项目 README

来源文件:README.md

抓取于 2026年9月14日

VexJoy Agent

VexJoy Agent

Essays and writing behind this toolkit live at vexjoy.com.

VexJoy Agent connects plain-English requests to specialist agents, skills, and workflows. /do selects the knowledge and tools needed for your task. Hooks enforce specific checks, and scripts handle repeatable work.

The aim is to give capable models useful domain knowledge without making you learn the toolkit's catalog.

43 domain agents, 122 workflow skills, 76 hooks, 138 scripts. Agents carry knowledge, skills enforce methodology, hooks block incomplete work, scripts handle determinism.

Works across Claude Code (/do), Codex ($do), Factory (/do), Reasonix (/do).

What It Looks Like

$ claude

> /do debug this Go test

  Routing: go-engineer + systematic-debugging
  Phase 1/4: Reproduce: running test, capturing failure...
  Phase 2/4: Hypothesize: 3 candidates from stack trace...
  Phase 3/4: Verify: isolated root cause in connection pool timeout
  Phase 4/4: Fix: patch applied, test passing, PR opened

  ✓ Delivered: PR #847, fix connection pool timeout in health check

The router pairs a Go agent with a debugging skill, then follows the task through verification and delivery.

The Pipeline

  ROUTE        PLAN         EXECUTE      VERIFY       DELIVER      RECORD
 ┌──────┐    ┌──────┐    ┌──────┐    ┌──────┐    ┌──────┐    ┌──────┐
 │ /do  │───▶│ Task │───▶│Agent │───▶│Tests │───▶│  PR  │───▶│Route │
 │Router│    │ Plan │    │+Skill│    │Gates │    │Branch│    │Result│
 └──────┘    └──────┘    └──────┘    └──────┘    └──────┘    └──────┘

Anti-Rationalization

Checks require evidence rather than confidence.

Agent SaysWhat Happens
"Code looks correct, skip tests"Exit gate requires test output. Blocked.
"Trivial change, no verification"Hook blocks completion without evidence.
"Similar to before"Skill demands case-specific proof.
"User is in a hurry"Protocol overrides time pressure.
"I'm confident"Gate demands exit code, not assertion.

Hooks run at configured events. Skills state what to verify; blocking hooks enforce the checks they cover. Coverage depends on the runtime and tool path.

Knowledge Work Is First-Class

The content engine researches, drafts in a calibrated voice, checks 397 writing patterns, and adapts finished pieces for each platform. /html produces a self-contained report, slide deck, prototype, chart, or diagram. It needs no coding or setup beyond installation.

It Proves Its Own Changes

Toolkit changes use direct review and relevant checks. Model comparisons can settle specific uncertainties; they are not required for every edit. PHILOSOPHY.md explains the validation policy. what-didnt-work.md records failed experiments, routing reversals, unvalidated A/B citations, disabled lint rules, and program refutations.

The automated nightly evolution loop (/evolve, writes to evolution-reports/) ran regularly through mid-May 2026. It is currently dormant; recent evidence has come from manual PRs instead.

Installation

git clone https://github.com/notque/vexjoy-agent.git ~/vexjoy-agent
cd ~/vexjoy-agent
./install.sh

Installs into ~/.claude/ and mirrors into ~/.codex/, ~/.factory/, and ~/.reasonix/ when the runtime command is on PATH or its home directory exists. Choose symlinks for live updates through git pull, or copies for a stable snapshot.

Want only part of the toolkit? Run ./install.sh --configure to pick which skills, agents, and hooks install, or copy .local.example/profile.yaml to .local/profile.yaml and edit. No profile file = full install, unchanged behavior. Credit: @thomasvan. Details: .local.example/README.md.

CLIEntry Point
Claude Code/do
Codex$do
Factory/do
Reasonix/do

Full setup: docs/start-here.md

Codex CLI Parity

Mirrors agents, skills, and supported hooks into ~/.codex/. The original six-hook allowlist was correct for Codex v0.114, when tool hooks only intercepted Bash. Current support requires Codex v0.144.1+ and classifies the 62 Claude hook registrations as 26 native, 27 adapter-backed, and 9 unsupported (53 supported). These are registration counts, not unique hook files. The installer also preserves explicit per-subagent model routing for GPT-5.6 Sol by setting the MultiAgent V2 compatibility keys documented in openai/codex#31814.

Codex now exposes apply_patch to tool hooks. VexJoy's adapter converts each patch operation into the Write/Edit payload expected by existing guards, but it cannot intercept writes performed through unified_exec, unmatched MCP tools, WebSearch, or other unsupported tool paths. PreCompact and Stop adapters also receive less telemetry than Claude Code: Codex does not provide Claude's conversation_history or session_data. This is expanded compatibility, not full Claude parity.

After install or any hook-definition change, run /hooks in Codex and review the new definitions before trusting them. Codex hash-trusts hook commands and skips changed, unreviewed definitions.

Gemini CLI / Antigravity CLI Support (removed)

Gemini CLI support removed (deprecated upstream, transitioned to Antigravity CLI); Antigravity support pending CLI maturity. Per Google's transition announcement, Gemini CLI stops serving requests on 2026-06-18 for Google AI Pro / Ultra and free Gemini Code Assist for individuals. Gemini API integrations (image-gen backends, sprite pipeline, GEMINI_API_KEY) are unaffected and stay in the toolkit.

If a prior install mirrored into ~/.gemini/, remove the stale mirrors with:

rm -rf ~/.gemini/skills ~/.gemini/agents ~/.gemini/hooks ~/.gemini/scripts ~/.gemini/antigravity/plugins/vexjoy-agent
Factory CLI Support

Mirrors agents (as "droids"), skills, and all hooks into ~/.factory/. Hook config merges into ~/.factory/settings.json with paths rewritten.

Reasonix Support

Mirrors skills, scripts, and the allowlisted hooks (scripts/reasonix-hooks-allowlist.txt) into ~/.reasonix/ (no agent or custom-command surface, so neither is installed; the /do router rides in as a skill). Reasonix fires only 4 events (PreToolUse, PostToolUse, UserPromptSubmit, Stop), so only hooks for those events are allowlisted. Hook config is written to the hooks key of ~/.reasonix/settings.json in Reasonix's native flat shape (one entry per hook, match regex over the tool name); the generator builds absolute python3 commands, so no path rewrite is applied. MCP/model/permissions in ~/.reasonix/config.json are user-owned and left untouched.

Token-saving mode

The toolkit supplies its own routing, domain knowledge, methodology, and enforcement. The default system prompt duplicates most of that.

claude --system-prompt "."

Strips built-in tool-use instructions. The toolkit's agents, skills, hooks, and CLAUDE.md provide equivalent coverage.

Four Layers

LayerCountDoes
Agents43Domain knowledge: idiom tables, failure mode catalogs, error-to-fix mappings
Skills122Phased methodology with gates. Can't skip steps. Each phase has exit criteria requiring evidence.
Hooks76Fire on lifecycle events. Block incomplete work. Zero LLM cost.
Scripts138Determinism: test runners, linters, validators. No LLM judgment.

Full skill catalog: docs/skills.md.

┌─────────────────────────────────────────────────┐
│  SKILL.md                                       │
│  ┌─ Frontmatter ─────────────────────────────┐  │
│  │ triggers, pairs_with, success-criteria     │  │
│  └────────────────────────────────────────────┘  │
│  Reference Loading Table (conditional imports)   │
│  Phased Instructions (numbered, with gates)      │
│  Verification (evidence requirements)            │
└─────────────────────────────────────────────────┘

Built with the Toolkit

A game built entirely by Claude Code using these agents, skills, and pipelines:

Choose Your Path

I just want to use it Install, learn /do, done.

I do knowledge work Writing, research, data analysis, moderation, HTML artifacts. No code.

I'm a developer Architecture, extension points, adding agents and skills.

I'm an AI power user Routing tables, pipelines, hooks, telemetry DB.

I'm an AI agent Machine-dense inventory. Tables, paths, schemas.

I'm on LinkedIn 🚀 Thought leadership. Agree? 👇

Philosophy

  • Zero-expertise operation. Say what you want. The system classifies, dispatches, enforces, delivers.
  • LLMs orchestrate, programs execute. Deterministic work belongs to scripts. LLM judgment handles design decisions, diagnosis, review.
  • Density. Every word carries instruction, rule, or decision. Cut everything else.
  • Breadth over depth. Right context ensures correctness. Unfocused context adds cost.
  • Structural enforcement. Exit codes enforce what instructions can't. Quality gates are automated, not advisory.
  • Everything pipelines. Complex work decomposes into phases. Phases have gates. Gates prevent cascading failures.

Full design philosophy: PHILOSOPHY.md

Maintenance

One report-only script surfaces upkeep work; it prints a digest and never edits, deletes, or blocks.

  • python3 scripts/stale-skill-scan.py --top 20 ranks stale skills and agents as pruning candidates. Run it quarterly; see docs/deprecation-template.md.

Scheduled work follows the same boundary as everything else: judgment uses agents; repeatable plumbing uses scripts.

NeedUse
Run a deterministic command on a schedulescripts/agent-scheduler.py with runner: "command"
Run an agent judgment on a schedule, webhook, or file changescripts/agent-scheduler.py with the default runner: "claude"
Install or remove a user crontab entry safelyscripts/crontab-manager.py
Audit shell cron reliabilitycron-automation
Keep one interactive objective moving until criteria verifyobjective-loop

Contributing

See CONTRIBUTING.md.

License

MIT. See LICENSE.

开发与工程研究与检索内容与创作

低风险

  • 来源需自行核对维护者身份。
  • 未检测到明显脚本安装指令。
  • 可能需要外部 token、网络权限或第三方服务。
  • 未检测到高风险命令。
  • 扫描发现:0 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/notque/vexjoy-agent.git
  3. 将 "skills/business/design" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/notque/vexjoy-agent.git
  3. 将 "skills/business/design" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/notque/vexjoy-agent.git
  3. 将 "skills/business/design" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/notque/vexjoy-agent.git
  3. 将 "skills/business/design" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/notque/vexjoy-agent.git
  3. 将 "skills/business/design" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: design
description: Design workflows — UX copy, design systems, design critique, accessibility review, design handoff, user research synthesis. Use when writing UI copy, reviewing designs, building component systems, checking accessibility, or preparing developer handoffs.
routing:
  triggers:
    - "design"
    - "UX copy"
    - "design system"
    - "design critique"
    - "accessibility"
    - "WCAG"
    - "design handoff"
    - "user research"
    - "UI copy"
    - "component library"
    - "design review"
    - "typography"
    - "color system"
  category: business
  not_for: "visual UI implementation or component coding (use ui-design-engineer agent); product roadmaps or feature prioritization (use business-ops skill, PRODUCT mode) — this skill covers design methodology: research, wireframes, accessibility audits, design-system documentation"
  force_route: false
  pairs_with: []
user-invocable: true  # justification: design work spans multiple modes; direct invocation for targeted design tasks

Design

Umbrella skill for design workflows: UX copy, design systems, critique, accessibility review, developer handoff, and user research synthesis. Each mode loads its own reference files on demand.


Mode Detection

Classify into one mode before proceeding.

ModeSignal PhrasesReference
UX-COPYwrite copy, button text, error message, empty state, onboarding copy, tooltip text, confirmation dialog, notification copyreferences/ux-copy.md
DESIGN-SYSTEMdesign tokens, component library, naming conventions, audit components, document component, extend system, theme architecturereferences/design-systems.md
CRITIQUEreview design, critique mockup, design feedback, evaluate screen, visual hierarchy, usability reviewreferences/design-critique.md
ACCESSIBILITYWCAG, accessibility audit, color contrast, keyboard navigation, screen reader, a11y, focus management, ARIAreferences/accessibility-review.md
HANDOFFdeveloper handoff, spec sheet, handoff doc, implementation spec, design-to-dev, responsive specreferences/design-handoff.md
RESEARCHsynthesize research, interview analysis, usability findings, survey results, user segments, research themes(inline — see workflow)

If the request spans modes, pick the primary mode and note the secondary.


Workflow by Mode

UX-COPY Mode

Load: references/ux-copy.md, references/llm-design-failure-modes.md

  1. Gather context — Ask conversationally:

    • Component type (button, error, empty state, tooltip, confirmation, notification, onboarding)
    • User state and emotional context (frustrated, exploring, completing a task)
    • Brand voice (formal, friendly, playful, reassuring)
    • Constraints (character limits, platform guidelines, localization needs)
    • Existing copy patterns (what terminology the product already uses)
  2. Generate copy using component-specific patterns from reference:

    • Primary recommendation with rationale
    • 2-3 alternatives with tone/context guidance
    • Localization notes (character expansion, idiom risks, cultural context)
  3. Validate — Check against these gates:

    • Copy uses product's existing terminology consistently
    • Action labels match outcomes (button says what it does)
    • Error messages follow What happened + Why + How to fix
    • Character limits respected for target platform
    • No jargon without explanation

Gate: Copy exists for all requested components. Each piece has rationale tied to user context. Alternatives provided with differentiated use cases.

DESIGN-SYSTEM Mode

Load: references/design-systems.md, references/llm-design-failure-modes.md

  1. Determine operation:
OperationInputsKey Actions
AuditComponent library or codebaseCheck naming consistency, token coverage, hardcoded values, state completeness, documentation gaps
DocumentComponent name + contextGenerate props/variants/states/accessibility/usage spec
ExtendGap description + existing systemPropose new component using existing tokens and patterns, show relationship to existing components
  1. Execute using design token architecture from reference:

    • Tokens: color (brand, semantic, neutral), typography (scale, weights, line heights), spacing (scale, component padding), borders (radius, width), shadows (elevation), motion (duration, easing)
    • Components: variants, states (default, hover, active, disabled, loading, error), sizes, accessibility, composition patterns
    • Patterns: form patterns, navigation patterns, data display, feedback
  2. Validate:

CheckCriteria
NamingConsistent convention across all components
TokensNo hardcoded values — everything references a token
StatesAll interactive states defined (default, hover, active, disabled, loading, error)
A11yARIA roles, keyboard behavior, screen reader announcements documented
CompositionComponent works standalone and composed with others

Gate: Output uses consistent naming. All values reference tokens. Interactive states complete. Accessibility documented.

CRITIQUE Mode

Load: references/design-critique.md, references/llm-design-failure-modes.md

  1. Gather context:

    • Design stage (exploration, refinement, final polish)
    • Target users and their goals
    • Focus area (optional — "just the navigation" vs full review)
    • Platform (web desktop, web mobile, native iOS, native Android)
  2. Apply structured critique — Four-step method:

    • Describe: What is present? Elements, layout, visual relationships. No judgment yet.
    • Analyze: How are design principles applied? Hierarchy, contrast, alignment, proximity, repetition.
    • Interpret: What does the design communicate? Emotional tone, brand alignment, user expectations.
    • Evaluate: What works, what could improve, and specific recommendations.
  3. Evaluate against heuristics — Apply Nielsen's 10 to the specific design:

HeuristicKey Question
Visibility of system statusDoes the user know what's happening?
Match with real worldDoes it use the user's language and mental models?
User control and freedomCan the user undo, go back, escape?
Consistency and standardsDoes it follow platform conventions and its own patterns?
Error preventionDoes the design prevent errors before they happen?
Recognition over recallAre options visible, not memorized?
Flexibility and efficiencyDoes it serve both novices and experts?
Aesthetic and minimalist designDoes every element earn its space?
Error recoveryAre errors explained with clear recovery paths?
Help and documentationIs contextual help available where needed?
  1. Match feedback to stage:
StageFocusAvoid
ExplorationConcept direction, user flow logic, information architecturePixel-level visual polish
RefinementVisual hierarchy, interaction patterns, consistency, edge casesQuestioning the fundamental approach
FinalColor contrast, spacing precision, copy accuracy, accessibilityStructural redesign suggestions

Gate: Critique covers usability, visual hierarchy, consistency, and accessibility. Feedback is specific (element + issue + recommendation). Positive observations included. Stage-appropriate depth.

ACCESSIBILITY Mode

Load: references/accessibility-review.md, references/llm-design-failure-modes.md

  1. Determine scope: Full WCAG 2.1 AA audit vs targeted check (contrast, keyboard, screen reader).

  2. Audit by WCAG principle:

PrincipleKey Criteria
PerceivableAlt text (1.1.1), semantic structure (1.3.1), text contrast 4.5:1 (1.4.3), UI contrast 3:1 (1.4.11)
OperableKeyboard access (2.1.1), focus order (2.4.3), visible focus (2.4.7), touch targets 44x44px (2.5.5)
UnderstandablePredictable behavior (3.2.1), error identification (3.3.1), input labels (3.3.2)
RobustName/role/value for all UI components (4.1.2)
  1. Check component-specific patterns from reference (buttons, forms, modals, navigation, data tables, carousels).

  2. Generate audit report with:

    • Issue count by severity (Critical, Major, Minor)
    • Each finding: WCAG criterion, location, issue, severity, remediation
    • Color contrast check table (foreground, background, ratio, required, pass/fail)
    • Keyboard navigation map
    • Screen reader announcement check
    • Priority fixes ranked by user impact

Gate: Audit covers all four WCAG principles. Each finding cites a specific WCAG criterion. Remediation provided for every issue. Severity reflects real user impact.

HANDOFF Mode

Load: references/design-handoff.md, references/llm-design-failure-modes.md

  1. Gather inputs:

    • Design (Figma URL, screenshot, description)
    • Tech stack (framework, CSS approach, component library)
    • Design system tokens (if available)
    • Target breakpoints
  2. Generate spec covering all artifact categories:

CategoryContents
LayoutGrid system, breakpoints, responsive behavior rules
Design tokensColor, typography, spacing, elevation — token names mapped to values
ComponentsName, variant, props, special behavior notes
StatesEvery interactive element: default, hover, active, disabled, loading, error
InteractionsClick/tap, hover, transitions (duration + easing), gestures
ContentCharacter limits, truncation rules, empty states, loading states
Edge casesMin/max content, i18n text expansion, slow connections, missing data
AccessibilityFocus order, ARIA labels/roles, keyboard interactions, screen reader announcements
AnimationElement, trigger, description, duration (ms), easing function
  1. Validate completeness:
    • Every interactive element has all states specified
    • Token references used (not raw values)
    • Edge cases documented (empty, loading, error, overflow, missing data)
    • Responsive behavior explicit at each breakpoint
    • Accessibility requirements stated

Gate: Spec covers all categories in the table. Uses token references. All states documented. Edge cases present. A developer can build from this spec without guessing.

RESEARCH Mode

Load: references/llm-design-failure-modes.md

  1. Accept inputs — Interview transcripts, survey data, usability test notes, support tickets, app reviews, NPS responses.

  2. Process each source:

    • Extract observations (what happened), verbatim quotes, behaviors (vs stated preferences), pain points, positive signals, context
    • Behavioral data outweighs stated preferences. What users do > what users say.
  3. Synthesize:

    • Affinity mapping: one observation per note, let clusters emerge, split large clusters
    • Theme development: initial codes -> theme candidates -> review against evidence -> refined themes
    • Triangulation: findings supported by multiple sources are stronger. Flag single-source findings.
  4. Priority matrix:

High ImpactLow Impact
High FrequencyTop priorityQuality-of-life
Low FrequencySegment-specificNote and deprioritize
  1. Generate synthesis:
    • Executive summary (3-4 sentences)
    • Key themes: name, prevalence (X of Y participants), summary, supporting evidence with quotes, implication
    • Insights-to-opportunities table: insight, opportunity, impact, effort
    • User segments identified: name, characteristics, needs, rough size
    • Prioritized recommendations with evidence basis
    • Questions for further research
    • Methodology notes and limitations

Gate: Themes supported by evidence with quotes. Behaviors distinguished from stated preferences. Quote attribution uses participant type ("Enterprise admin, 200-person team"), not names. Recommendations tied to specific findings.


LLM Failure Modes in Design Work

Load references/llm-design-failure-modes.md for all modes. These are specific ways LLMs fail at design tasks:

Failure ModeWhat HappensDefense
Generic copyCopy sounds professional but lacks product personality and contextGround every piece in the product's existing voice, user's emotional state, and specific feature context
Inaccessible suggestionsRecommends color combinations or patterns that fail WCAGCheck every color pairing against 4.5:1 (text) and 3:1 (UI) ratios. Verify keyboard paths.
Platform-blind critiqueApplies desktop heuristics to mobile or iOS patterns to AndroidIdentify target platform first. Apply platform-specific conventions.
Missing edge casesSpecs cover happy path but omit empty, loading, error, overflow, i18n statesUse the edge case checklist from handoff reference for every spec.
Surface-level critique"Looks clean" or "good hierarchy" without specificityEvery critique finding names the element, the issue, and a concrete recommendation.
Fabricated researchInvents plausible user quotes, statistics, or persona detailsEvery finding cites user-provided source material. Flag confidence levels. Mark assumptions explicitly.
Token-value confusionSpecs use raw px/hex values instead of design tokensReference token names. Flag any raw value as "needs token mapping."
Framework dumpingLists heuristics or WCAG criteria as a checklist without applying to the specific designApply each criterion to the actual design. Skip criteria that do not apply. Explain how each applies.

Output Conventions

  • Markdown with clear headers. Scannable by busy designers and developers.
  • Tables for comparisons, audit findings, component specs, token mappings.
  • Severity labels: Critical (blocks users), Major (degrades experience), Minor (polish).
  • Every recommendation is specific enough to act on. "Improve contrast" is not actionable. "Change body text from #999 to #595959 on #fff background to meet 4.5:1 ratio" is.
  • Include what works well alongside what needs improvement.

Reference Loading Table

ModePrimary ReferenceSecondary Reference
UX-COPYreferences/ux-copy.mdreferences/llm-design-failure-modes.md
DESIGN-SYSTEMreferences/design-systems.mdreferences/llm-design-failure-modes.md
CRITIQUEreferences/design-critique.mdreferences/llm-design-failure-modes.md
ACCESSIBILITYreferences/accessibility-review.mdreferences/llm-design-failure-modes.md
HANDOFFreferences/design-handoff.mdreferences/llm-design-failure-modes.md
RESEARCH(inline)references/llm-design-failure-modes.md

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