SkillCheck validator, Cursor exports, and per-agent installers (#27)
Three more learnings from alirezarezvani/claude-skills, applied: 1. SkillCheck validator (scripts/skillcheck.mjs) — validates every SKILL.md against the authoring standard (frontmatter, name/folder match, trigger + produces clauses, required headings) plus tier referential integrity. Errors fail CI; --strict fails on warnings too. New skillcheck.yml workflow and a SkillCheck status badge in the README. Current: 0 errors / 14 advisory warnings across 172 skills. 2. Cursor export platform — build-exports.mjs now generates exports/cursor/<bundle>/<skill>/<skill>.mdc rule files. The PLATFORMS registry now supports per-skill filenames (file as a function). 3. Per-agent installers — scripts/install.sh unifies install for claude/hermes/codex/openclaw/cursor (--link, --target, --dry-run, --list). Curl-able one-liners codex-install.sh, openclaw-install.sh, and cursor-install.sh clone the library and install in a single command. README documents the one-line installs and Cursor exports; CHANGELOG and the authoring standard updated. Claude-Session: https://claude.ai/code/session_016JWn5jRD5tcEFKrubjQ6Px Co-authored-by: Claude <noreply@anthropic.com>
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description: "Prepare a structured discovery call plan for any prospect. Use when asked to prepare for a sales call, discovery call, prospect meeting, or first call with a potential customer. Produces a call brief with research, hypotheses, questions, and success criteria."
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globs:
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alwaysApply: false
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---
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# Discovery Call Prep Skill
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Produces a complete discovery call brief — research summary, call hypothesis, structured questions, and success criteria — so every call starts with context and ends with a clear next step.
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## Required Inputs
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- **Prospect company name**
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- **Contact name and role**
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- **Any known context** (how they found you, prior interaction)
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- **Your product/solution** (one line)
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- **Call duration** (15 / 30 / 45 / 60 min)
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## Output Structure
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---
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# Discovery Call Brief
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**Prospect:** [Company] | **Contact:** [Name, Title] | **Duration:** [X min]
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---
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### Research Summary
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- What they do: [Product/service, customer, business model]
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- Size: [Headcount, revenue if public]
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- Stage: [Startup / Scaleup / Enterprise]
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- Recent news: [Funding, launches, leadership changes — last 90 days]
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- Contact background: [Role tenure, previous companies, LinkedIn activity]
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- Likely priorities for someone in this role: [Based on title and stage]
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---
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### Call Hypothesis
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Before the call write your best guess:
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- **Their most likely pain:** [What someone in this role at this company probably has]
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- **Why they would care about us:** [Specific connection to your value]
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- **Biggest risk to the deal:** [What might make this not a fit]
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Write it down — then test it on the call.
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---
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### Call Agenda
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"Here is what I was thinking for our [X] minutes:
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- 2 min: Quick intros
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- [X] min: Learn more about your situation
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- [X] min: Share how we have helped similar companies
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- 5 min: Next steps
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Does that work? Anything specific you would like to cover?"
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---
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### Discovery Questions
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Open with context (not a pitch):
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- "What prompted you to take this call today?"
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- "What does [relevant area] look like for you at the moment?"
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Go deeper on pain:
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- "How long has [problem] been an issue?"
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- "What have you tried to solve it?"
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- "What is the impact of not solving this?"
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Understand buying context:
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- "Who else would be involved in a decision like this?"
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- "Have you looked at other solutions?"
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- "Is there a reason you are exploring this now?"
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Qualify on budget:
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- "Have you set aside budget for this kind of initiative?"
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Close discovery:
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- "Based on what you have told me, it sounds like [summary]. Is that right?"
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---
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### Success Criteria
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This call is successful if we leave with:
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- Understanding of specific pain and business impact
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- Knowledge of buying process and key stakeholders
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- A clear agreed next step (demo / proposal / intro)
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- Sense of timeline
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This call is NOT successful if we only pitched and got "sounds interesting, send me some info."
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---
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### Suggested Next Step
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"Based on what we discussed, the logical next step would be [specific]. Does [day/time] work?"
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## Quality Checks
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- [ ] Research summary includes recent news (last 90 days) — not just LinkedIn bio
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- [ ] Call hypothesis is written before the call (not post-rationalised after)
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- [ ] Discovery questions progress from context → pain → business impact → buying process
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- [ ] Success criteria define what "not successful" looks like (not just the ideal outcome)
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- [ ] A specific next step is proposed (not "let's stay in touch")
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## Anti-Patterns
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- [ ] Do not write the call hypothesis after the call — hypotheses written post-hoc are rationalisations, not testable predictions
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- [ ] Do not open with a product pitch before establishing the prospect's problem — leading with pitch signals you are not there to learn, which closes discovery conversations
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- [ ] Do not use closed questions in the discovery phase ("Do you have this problem?") — they produce yes/no answers that confirm bias rather than reveal pain
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- [ ] Do not skip the "not successful" definition in success criteria — a call that ends with "send me more info" feels like progress but is not a qualified next step
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- [ ] Do not treat all prospect research equally — recent news (last 90 days) is more relevant to call context than static company facts from LinkedIn
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## Example Trigger Phrases
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- "Prepare me for a discovery call with [company/contact]"
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- "Build a call brief for my meeting with [name] at [company]"
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- "What questions should I ask in a discovery call for [use case]?"
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