Subagents, slash commands, skill scaffolder, and discoverability pass (#28)

Growth-focused additions drawn from studying alirezarezvani/claude-skills —
broaden content types beyond skills, lower contribution friction, and improve
discoverability.

Breadth (content types):
- agents/ — 4 Claude Code subagents (pm-partner, sprint-master, cs-guardian,
  launch-captain) that delegate to the strongest skills and run their helper
  scripts to compute results.
- commands/ — 6 slash commands (/prd, /rice, /sprint-plan, /health-scorecard,
  /retro, /exec-summary).
- install.sh --agent claude now installs skills + agents + commands into ~/.claude/.

Contribution UX:
- scripts/new-skill.mjs (npm run new-skill) scaffolds a SKILL.md that already
  passes SkillCheck.
- package.json exposes npm run entry points (new-skill, skillcheck, build:exports,
  build:web, check).

Discoverability:
- Keyword-rich README H1 (Agent Skills for Claude, ChatGPT, Gemini, Cursor,
  Codex & Hermes), subagent/command count badges, a Subagents & Slash Commands
  section, and a Star History chart. Contributing now points at the scaffolder.

CHANGELOG updated. SkillCheck, exports, and web index all verified in sync.


Claude-Session: https://claude.ai/code/session_016JWn5jRD5tcEFKrubjQ6Px

Co-authored-by: Claude <noreply@anthropic.com>

commands/README.md

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+# Slash Commands
+
+Claude Code **slash commands** that run a skill on whatever you pass them.
+
+| Command | Does | Skill |
+|---|---|---|
+| `/prd` | Draft a PRD from an idea | prd-template |
+| `/rice` | Score & rank initiatives (RICE) | rice-prioritisation |
+| `/sprint-plan` | Plan a sprint with a calibrated commitment | sprint-planning |
+| `/health-scorecard` | Weighted customer health scorecard | cs-health-scorecard |
+| `/retro` | Structured sprint retrospective | retro-analysis |
+| `/exec-summary` | Crisp executive summary | executive-summary |
+
+## Install
+
+```bash
+./scripts/install.sh --agent claude       # installs skills + agents + commands into ~/.claude/
+# or copy manually:
+cp commands/*.md ~/.claude/commands/
+```
+
+Then run, e.g. `/rice` followed by your initiatives. Commands whose skill ships a Python helper (RICE, sprint, health) will run it to compute results.

commands/exec-summary.md

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+---
+description: Compress a document or update into a crisp executive summary.
+argument-hint: [text, decision, or document to summarise]
+---
+
+Apply the **executive-summary** skill to: $ARGUMENTS
+
+Lead with the decision or "so what", then the key points and the ask. Keep it scannable, quantify where possible, and surface risks and the recommendation up front. No filler.

commands/health-scorecard.md

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+---
+description: Build a weighted customer health scorecard for an account.
+argument-hint: [account name + usage/support/commercial signals]
+---
+
+Apply the **cs-health-scorecard** skill to: $ARGUMENTS
+
+Score each dimension 1–5 with specific evidence, then run `skills/cs-health-scorecard/scripts/health_score.py` to compute the weighted /100 total and RAG band. Produce the scorecard, top risks (specific, not vague), owned/dated actions, and a calibrated renewal forecast with ARR at risk.

commands/prd.md

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+---
+description: Draft a product requirements document from a feature idea or brief.
+argument-hint: [feature or problem to spec]
+---
+
+Apply the **prd-template** skill to produce a complete PRD for: $ARGUMENTS
+
+Ask for any missing essentials first (problem, target user, success metric, scope). Do not invent metrics or dates. Produce a structured PRD with problem, goals/non-goals, user stories, requirements, success metrics, and open questions.

commands/retro.md

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+---
+description: Run a structured sprint retrospective from notes.
+argument-hint: [what happened this sprint — wins, misses, blockers]
+---
+
+Apply the **retro-analysis** skill to: $ARGUMENTS
+
+Surface themes (what went well, what didn't, what to change), separate symptoms from root causes, and end with owned, dated action items. Keep it blameless and specific.

commands/rice.md

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+---
+description: Score and rank initiatives with the RICE framework.
+argument-hint: [list of initiatives, or a file/path of them]
+---
+
+Apply the **rice-prioritisation** skill to: $ARGUMENTS
+
+Gather or estimate Reach, Impact, Confidence, and Effort for each item. If the data is structured, run `skills/rice-prioritisation/scripts/rice_calculator.py` to compute and rank the scores and flag quick wins / moonshots / low-confidence items. Present a ranked table, a recommended sequence, and the data gaps that would most improve accuracy.

commands/sprint-plan.md

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+---
+description: Plan a sprint with a calibrated, realistic commitment.
+argument-hint: [team size, velocity, backlog items, known absences]
+---
+
+Apply the **sprint-planning** skill using: $ARGUMENTS
+
+Run `skills/sprint-planning/scripts/capacity_calculator.py` with the team's numbers to compute the recommended commitment (cap at ~80% of velocity). Produce an outcome-focused sprint goal, a capacity-fit backlog with acceptance criteria, carry-over accounting, risks, and a planning agenda. Flag any 8+ point story for splitting.