design-engineering-playbook
AGENTS.md1 starsChanged 5 months agoMITView on GitHub
This repository is an AI-native design engineering workspace. When working in this repo: Do not add private project data, client data, secrets, or personal notes. Prefer practical, reusable, senior-level material over generic AI advice.
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,439 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository20 other files it gives its agents.
- skills/AGENTS.mdAGENTS.md
- .github/copilot-instructions.mdCopilot instructions
- kano-model-strategistSkill
- legible-agent-outputSkill
- socratic-dialogueSkill
- value-proposition-canvasSkill
- figjam-storymap-llmSkill
- kano-model-strategistSkill
- legible-agent-outputSkill
- socratic-dialogueSkill
- glyph-fidelitySkill
- line-length-optimizerSkill
- microtypographySkill
- text-typesettingSkill
- type-scale-generatorSkill
- ui-text-overflowSkill
- vertical-spacingSkill
- ui-roi-auditSkill
- ux-content-designSkill
- value-proposition-canvasSkill
The file
Show its rules and text
We split this AGENTS.md into the rules it gives an agent
13 rules. About 1 is common, 3 are distinctive, and 9 are very specific to this project.
≈1
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
9
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Distinctive: line 5
When working in this repo:
- Distinctive: line 7
treat README.md as the public positioning source of truth
- Very specific: line 8
use playbook/ for long-form methodology
- Very specific: line 9
use skills/ for reusable workflows
- Very specific: line 10
use rules/ for operating guardrails
- Very specific: line 11
use commands/ for repeatable agent actions
- Very specific: line 12
use prompts/ for copy-paste prompt patterns
- Very specific: line 13
use doc-templates/ for reusable project artifacts
- Very specific: line 14
use agents/ for role definitions
- Very specific: line 15
use tools/ for scripts and helpers
- Very specific: line 16
use integrations/ for setup guides and external tool workflows
- Common: line 18
Do not add private project data, client data, secrets, or personal notes.
- Distinctive: line 20
Prefer practical, reusable, senior-level material over generic AI advice.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Agent Instructions
This repository is an AI-native design engineering workspace.
When working in this repo:
- treat
README.mdas the public positioning source of truth - use
playbook/for long-form methodology - use
skills/for reusable workflows - use
rules/for operating guardrails - use
commands/for repeatable agent actions - use
prompts/for copy-paste prompt patterns - use
doc-templates/for reusable project artifacts - use
agents/for role definitions - use
tools/for scripts and helpers - use
integrations/for setup guides and external tool workflows
Do not add private project data, client data, secrets, or personal notes.
Prefer practical, reusable, senior-level material over generic AI advice.
Available agents
agents/agent-agile-master/AGENT.md— Agile master for solo practitioners. Routes to 25+ rituals: sprint planning, retrospective, estimation, story mapping, OKR, team health, change management. Load with PERSONA.md.
Available skills
skills/legible-agent-output/SKILL.md— Enforce plain-language output from AI agents. Replace opaque codes (A127, ENOENT), framework jargon, raw error strings, and bare percentages with human-readable titles, status messages, and error descriptions. Cross-cutting rule for any agent emitting user-facing strings.skills/kano-model-strategist/SKILL.md— Feature prioritization using Kano model. Cut waste, build MDP over MVP.skills/socratic-dialogue/SKILL.md— Reasoning rigor and anti-sycophancy guard for high-stakes decisions.skills/value-proposition-canvas/SKILL.md— Run a Value Proposition Canvas workshop through Phase 1 (Customer Profile) + Phase 2 (Value Map: Pain Relievers, Gain Creators, Products & Services) + Phase 2.5 (Framework Selection). Tables as primary output. Number rules (1-2 main Jobs + 3-5 supporting, 3-5 Pains, 3-5 Gains). Explicit user acceptance gates between every step. Soft rigor (Hypothesis welcomed, not rejected). Multi-file output: producesvpc-result.md+shadow-backlog.mdstarter; user writesValue-proposition.mdafter Kano. Composes withsocratic-dialogue(validation) andkano-model-strategist(next step).skills/typesetting-engine-skillset/— six-skill typography/layout family (seetypesetting-engine-skillset/README.mdfor the map):microtypography,line-length-optimizer,text-typesetting,vertical-spacing,type-scale-generator,glyph-fidelity.skills/ux-content-design/SKILL.md— Content design: UI microcopy, error and system messages, design system content guidelines, explainer articles, and copy audits. Writes the states that break in production and never reach the mockup. 4-phase procedure (brief → 3 variants → stress-test → ship) with four output contracts (string spec, design system content section, explainer, audit report). Marketing register out of scope by design — pastiche-tell taxonomy, golden good/bad pairs loaded before drafting, voice chart defined by constraints instead of adjectives, read-aloud gate as the first check. Bilingual PL/EN with length budgeting. Claude only. Composes withlegible-agent-output(same law, machine-authored strings) andtypesetting-engine-skillset(typography after the string exists).skills/figjam-storymap-llm/SKILL.md— Audit and parse FigJam User Story Maps (Jeff Patton methodology) into LLM-readable Markdown / JSON. Eliminates the post-workshop transcription step. Includes a Python parser (Figma REST API → Markdown / JSON), canonical FigJam template spec, verification prompt for LLM-readiness audits, and Lean UX rules (V1 has priorities + owners + AC; V2 / V3 are clean). Use after a Story Mapping workshop, before publishing a Story Map template, or when feeding a Story Map to a coding agent (Cursor, Claude Code, Copilot).skills/ui-roi-audit/SKILL.md— Audit web pages and task-driven interfaces against source-cited conversion, usability, and ROI criteria. Scores applicable criteria, ranks fixes by exposure, severity, effort, and expected return, and estimates conservative twelve-month revenue gain or cost avoided. Every sourced finding cites Loveday & Niehaus (2008) or Marcus (2004); bibliography inATTRIBUTION.md. Audits only, does not draft copy. Use for "UI ROI audit", "interface audit", "usability ROI", "ROI audit", or "conversion audit".
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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.

