mohitagw15856
a8a5bab9ce
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>
9 lines
493 B
Markdown
9 lines
493 B
Markdown
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description: Build a weighted customer health scorecard for an account.
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argument-hint: [account name + usage/support/commercial signals]
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---
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Apply the **cs-health-scorecard** skill to: $ARGUMENTS
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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.
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