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Draft

Skill mk668a/FDE-SKILLS/skills/draft

Use when the user wants to produce a client deliverable or check how complete one is — a risk register, findings report, stakeholder map, etc. (e.g. "draft the risk register for Acme", "write up findings", "how complete is the integration spec"). Fills the deliverable's typed schema from engagement notes AND pre-populates slots from what past engagements taught (candidate ×n priors, paved slots), then reports coverage and refreshes the dashboard.From its SKILL.md

Install
npx -y skills add mk668a/FDE-SKILLS --skill draft

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SKILL.md

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fde-draft — draft a typed deliverable with schema inheritance

The compounding wedge. A deliverable is not a blank doc — it is a typed schema of slots, and the schema is a versioned prior that hardens with evidence: drafting engagement N's risk register starts from everything engagements 1..N-1 taught.

Steps

  1. Resolve the engagement (<client>) and the deliverable <type> (one of the ids in .fde/config.ymldeliverable_types).
  2. Load the schema: .fde/schemas/<type>.schema.yml — slot ids, labels, required flags, prompts, plus any evolved_slots that past engagements paved in (each carries a paved_from: provenance line).
  3. Inherit priors from .fde/corpus/<type>.yml. Every entry has a sightings counter and a paved flag — respect the tiering:
    • paved: truepre-fill the slot by default; it earned that at 3+ sightings. Still mark it [paved: confirm].
    • paved: false → offer it as [candidate ×<sightings>: confirm]. A ×1 candidate is one engagement's opinion; say so.
  4. Fill from this engagement: read engagements/<client>/notes/*.md. Fill slots from real, client-specific evidence. Client evidence overrides an inherited prior — never let a past client's detail leak into this draft as fact.
  5. Flag gaps: list every required slot still empty, with the exact question the user should answer (from the slot's prompt).
  6. Detect novel slots: if this engagement surfaced a recurring dimension the schema lacks, propose it — /fde:promote will stage it as a candidate with a stable key; the schema only changes when the Rule-of-Three counter says so.
  7. Write two files (the two-layer split):
    • engagements/<client>/deliverables/<type>.md — the human-readable draft.
    • engagements/<client>/deliverables/<type>.slots.yml — the machine state:
      schema: <type>
      schema_version: <n>
      slots:
        <slot_id>: "<filled value, or empty for a gap>"
      sources:
        <slot_id>: inherited      # pre-filled from the corpus (confirmed)
        <slot_id>: engagement     # filled from this client's evidence
        # omit a slot here if it is still empty
      
      Format contract: one line per slot, flat scalars — the deterministic spine (fde-coverage.sh, fde-dashboard.sh) counts lines, not YAML trees. Fold list-ish content into one quoted line.
  8. Report coverage and refresh the wall deterministically:
    .fde/bin/fde-coverage.sh <client> <type>
    .fde/bin/fde-dashboard.sh
    
    Show the user filled/total — inherited · new. Watching the inherited share climb across engagements is the whole product.

Hard rules

  • Inherited values are suggestions to confirm, never asserted as this client's facts. Everything in the corpus was anonymized on the way in — re-ground it in this engagement's notes.
  • Always write sources: alongside slots:; the dashboard's colors and the coverage breakdown are only as honest as that block.
  • No runtime cloud LLM, no external service. This skill runs on the user's own Claude Code; the spine scripts are plain shell.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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