iasv/deal-preliminary-screening
Rapid batch triage of 10-50+ startups into investment tiers using IASV criteria — screens for thesis fit, red flags, and prioritizes deep-dive candidates
100
100%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that clearly articulates specific capabilities (scoring, tiering, web validation, table generation), uses natural VC/investor terminology as trigger terms, and explicitly states when to use it. The description is concise yet comprehensive, covering the full workflow from batch intake to output artifacts, with a well-defined niche that minimizes conflict risk.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: screens batches of startups, scores on traction/team/market size/differentiation, classifies into 4 priority tiers, validates top candidates via web research, generates tier rankings and shortlist comparison tables. | 3 / 3 |
Completeness | Clearly answers both 'what' (screens startups, scores on criteria, classifies into tiers, validates via web research, generates rankings/tables) and 'when' with an explicit 'Use for...' clause listing specific trigger scenarios like batch deal screening, demo day prep, and cohort evaluation. | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'batch deal screening', 'startup triage', 'demo day', 'cohort evaluation', 'dealflow prioritization', 'pitch events', 'accelerator showcases'. These cover a wide range of natural terms a VC or investor would use. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive niche focused on batch startup screening for investment purposes with specific domain terms like 'pitch events', 'demo days', 'accelerator showcases', 'dealflow prioritization' that are unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an excellent skill that balances comprehensiveness with conciseness. It provides a complete, actionable screening framework with concrete thresholds, worked examples, structured output templates, and clear validation checkpoints — all without over-explaining concepts Claude already understands. The progressive disclosure to reference files for deeper criteria and templates is well-executed.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every section earns its place — tables are dense and informative, no unnecessary explanations of what screening or triage means. The skill assumes Claude understands investment concepts and focuses on the specific framework and thresholds to apply. | 3 / 3 |
Actionability | Provides concrete scoring criteria with specific thresholds (e.g., >$500K ARR, ≥5 signals = Tier 1), a worked example (Acme AI scoring), exact search query patterns, and a specific output template with field-level structure. Fully actionable without ambiguity. | 3 / 3 |
Workflow Clarity | Four clearly sequenced phases with time estimates, explicit validation in Phase 3 for Tier 1/2 companies, a force-prioritization guardrail (re-tighten if >15), and a completion checklist that serves as a final validation checkpoint. The feedback loop of 'flag missing data → validate in Phase 3' is well-articulated. | 3 / 3 |
Progressive Disclosure | The skill provides a complete, self-contained overview with inline summary tables while pointing to one-level-deep references for full signal definitions (SCREENING-CRITERIA.md) and templates (screening-worksheet.md, shortlist-template.md). Navigation is clearly signaled and appropriately split. | 3 / 3 |
Total | 12 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
Reviewed
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