agentleFS
HeyEddi-comHeyEddi-com/heyeddi-skills/skills/heyeddi-intake/SKILL.md

heyeddi-intake

Skill0 starsChanged 3 months agoMITView on GitHub

Translates vague user prompts into HeyEddi product docs (personas, route intent, voice), route-specific handoff artifacts (wireframes, user mockups, or briefs), and skill-routing under .heyeddi/. Use first on new projects before @heyeddi-design, @heyeddi-handoff, or @flutter-engineering. Never hand-write product.md: use write_product.

The file

We split this skill into the rules it gives an agent

7 rules. About 0 are common, 1 is distinctive, and 6 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 6

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Before any @heyeddi-design / @heyeddi-handoff / scaffold work

    line 24
  2. Very specific:

    verify_intake --check: must pass before you stop

    line 49
  3. Very specific:

    Delete src/App.vue or break npm run build to pass verify

    line 56
  4. Very specific:

    Use write_routing unless overriding build_routing output

    line 57
  5. Very specific:

    Read reference/clarify-before-act.md.

    line 75
  6. Distinctive:

    When you have finished the user's request for this skill (not after every tool call or subagent phase), suggest what to run next:

    line 79
  7. Very specific:

    Add --route /path if you worked a specific route.

    line 87

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

HeyEddi Intake

Upstream intake agent: turns vague user language into .heyeddi/product.md, handoff artifacts, and skill routing for downstream HeyEddi skills.

You are not the implementer. You interpret, document, produce handoff artifacts, route, and verify.

When to use

  • New project or empty / thin .heyeddi/product.md
  • User describes an app in plain language
  • User attached images → ingest_mockups (screenshots, sketches, competitor refs)
  • No images → generate_wireframe per handoff route (default)
  • Before any @heyeddi-design / @heyeddi-handoff / scaffold work

Mockup decision tree

Read reference/mockup-strategy.md (mandatory).

SituationAction
User gave screenshots / mockupsingest_mockups → tailor mockup-brief.md to their layout
No images, route needs handoffgenerate_wireframe → refine wireframe.md for this product → seed_brief --force
No images, polished PNG handoff neededprepare_mockup_prompts → AI-generate desktop.png / mobile.png (see reference/ai-mockup-images.md) → seed_brief --force
No images, route needs visual design firstRoute @heyeddi-design: do not emit template PNGs

The skill package does not ship sample PNGs and has no Pillow/template PNG drawer. Eval hub tooling (uv run poe mockups) is maintainer-only: not part of this skill.

Mandatory pipeline

See reference/pipeline.md. Summary:

  1. load_intake
  2. Draft product-translation.json (reference/audience-intake.md): template: reference/product-translation.template.json
  3. write_product --json … --force: validates schema; writes product.md + saves JSON
  4. write_translation
  5. Handoff features: generate_wireframe (or ingest_mockups / AI PNGs per strategy) → seed_brief --force
  6. build_routing --write --save-input
  7. verify_intake --check: must pass before you stop

Never

  • Hand-write product.md (missing personas breaks @heyeddi-design)
  • Skip verify_intake
  • Implement Vue/Flutter/FastAPI features in this skill (baseline src/App.vue shell on scaffolded repos is OK)
  • Delete src/App.vue or break npm run build to pass verify
  • Use write_routing unless overriding build_routing output
  • Bundle or draw cookie-cutter PNG mockups from skill scripts

Outputs (.heyeddi/)

PathTool
docs/intake/product-translation.jsonwrite_product (canonical)
product.mdwrite_product
docs/intake/translation-*.mdwrite_translation
docs/intake/skill-routing.jsonbuild_routing --write
designs/<feature>/wireframe.mdgenerate_wireframe (default without user images)
designs/<feature>/mockup-prompts.jsonprepare_mockup_prompts (before AI image gen)
designs/<feature>/desktop.pngingest_mockups or agent AI image gen after prompts
designs/<feature>/mockup-brief.mdseed_brief (Audience + Implementation spec)

Clarify before act

Read reference/clarify-before-act.md. One round if personas/competitors missing from user prompt.

When the task is complete: suggest next skills

When you have finished the user's request for this skill (not after every tool call or subagent phase), suggest what to run next:

  1. Run:

    python .agents/skills/heyeddi/scripts/suggest_next_skill.py --current-skill heyeddi-intake --project-root .

    Add --route /path if you worked a specific route.

  2. Include the script's ### Next step block in your final reply. The user copies the Prompt line into chat (e.g. @heyeddi-design craft /settings).

Pass --mode shape (or craft, audit, etc.) when you know which sub-command just finished.

See @heyeddi → reference/next-skill-handoff.md.

Related

  • reference/audience-intake.md: JSON schema
  • reference/downstream-routing.md: routing examples
  • reference/mockup-strategy.md: when wireframe vs ingest vs AI PNG
  • reference/ai-mockup-images.md: AI generation workflow (no bundled PNGs)
  • reference/mockup-quality.md: quality bar per format
  • @heyeddi: write_skills_index after intake (integration eval)

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Your trail

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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.