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Business report leadership

Skill tony/ai-workflow-plugins/.agents/skills/business-report-leadership

Claude Code Plugins, Commands, and Skills

Install
npx -y skills add tony/ai-workflow-plugins --skill business-report-leadership

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Render the tier-0 leadership report from a business run — SCQA with the answer first, action-titled exhibits, explicit value build, the conservative number committed

SKILL.md

4.1 KB, as published. Nobody here has run it

Leadership Report (tier 0)

Render the full-detail leadership report from a run package. Tier 0 withholds nothing: names, raw links, registers inline. It still never contains money — value is engineer-hours, cycle time, and capacity.

Read references/interim-format.md first — it defines run location and the completeness gate. Defer these rendering references until the gate passes; a refused render never loads them:

  • references/provenance.md — tag rendering, anti-inflation rules, the no-currency contract.
  • references/measurement.md — the value build, break-even, guardrails, the counterfactual ladder.
  • references/evidence.md — external context for the pre-answered objections.
  • references/audiences.md — the tier-0 contract.

User arguments: $ARGUMENTS

Context

Recent runs — run this command and read the output:

sh -c 'ls -dt "$HOME"/Documents/*/business/ /mnt/c/Users/*/Documents/*/business/ 2>/dev/null' | head -5 | grep . || echo "(no runs found)"

Procedure

1. Locate the run

Use the $ARGUMENTS path if given, else the newest run per interim-format.md. Confirm the choice with the user before rendering.

2. Completeness gate

Run the completeness gate from interim-format.md. Refuse to render from a package with untagged figures or missing register fields — list exactly what is missing and stop.

3. Render the report

Read the deferred references above, then write <run>/reports/leadership.md with this fixed structure:

  1. SCQA opening — Situation, Complication, Question, Answer, with the Answer stated first.
  2. Exhibits — action titles: every exhibit title is a full-sentence takeaway; one message per exhibit; a source, query, and date-range note under each.
  3. Value build — every multiplier explicit, per the chains in measurement.md; break-even stated.
  4. Scenarios — the conservative scenario is THE committed number; base and upside appear as context, never as the headline.
  5. Assumptions register and data dictionary — appendix, inline from assumptions.yaml plus definitions of every metric used.
  6. Known limitations — each with a confidence label.
  7. What would flip this conclusion — the input thresholds at which the answer changes.
  8. Pre-answered objections — at minimum: how do you know the skill caused this (name the counterfactual rung); does the savings rate survive the verification tax; who maintains the skill.

Output

Open with a one-line hero (✓ Leadership report: <committed figure with tag>, ✓ Evidence report: <supported claim, unknowns named>, or ⚠ Refused: <what the gate found>), then exactly these sections:

  1. ## Run — the run chosen and its pinned window.
  2. ## Gate — the completeness result.
  3. ## Report — where it was written, the committed number, and the strongest limitation.

End with an ask-user-choice panel: render the org-wide projection next, adjust assumptions and re-render, or stop. Skip the panel in plan mode or when running non-interactively.

Portability notes

  • ask-user-choice — present the listed options and wait for the user to pick one. Hosts with a structured multiple-choice tool (Claude Code's AskUserQuestion) should use it; otherwise print a numbered list and wait for a numbered reply. Never proceed on an assumed answer.
  • $ARGUMENTS — the text the user passed when invoking this skill. If your host does not substitute it, read it as the user's request in the current turn, and ask when there is none.
  • Bundled files — every relative path in this skill points at a file shipped inside this skill directory. Read them from here, not from the host's plugin tree.

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