From founder-skills
Scores startup pitch decks against 35 investor-grade criteria from Sequoia, YC, a16z and provides actionable feedback. Processes PDF, PPTX, markdown, text for pre-seed to Series A.
How this skill is triggered — by the user, by Claude, or both
Slash command
/founder-skills:deck-reviewThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Help startup founders strengthen their pitch decks before sending them to investors. Produce a structured, scored review with specific, actionable recommendations grounded in 2026 best practices from Sequoia, DocSend, YC, a16z, and Carta data. The tone is founder-first: a candid coaching session, not a VC evaluation.
Help startup founders strengthen their pitch decks before sending them to investors. Produce a structured, scored review with specific, actionable recommendations grounded in 2026 best practices from Sequoia, DocSend, YC, a16z, and Carta data. The tone is founder-first: a candid coaching session, not a VC evaluation.
Accept any format: PDF, PowerPoint (PPTX), markdown, or text descriptions of slides.
All scripts are at ${CLAUDE_PLUGIN_ROOT}/skills/deck-review/scripts/:
checklist.py — Scores 35 criteria across 7 categories (pass/fail/warn/not_applicable)compose_report.py — Assembles artifacts into final report with cross-artifact validation; --strict exits 1 on high/medium warningsvisualize.py — Generates self-contained HTML with SVG charts (not JSON)Run with: python3 ${CLAUDE_PLUGIN_ROOT}/skills/deck-review/scripts/<script>.py --pretty [args]
Read as needed from ${CLAUDE_PLUGIN_ROOT}/skills/deck-review/references/:
deck-best-practices.md — Full 2026 best practices: slide frameworks, stage-specific guidelines, design rules, AI-company requirementschecklist-criteria.md — Definitions for all 35 criteria with pass/fail/warn thresholdsartifact-schemas.md — JSON schemas for all artifactsEvery review deposits structured JSON artifacts into a working directory. The final step assembles all artifacts into a report and validates consistency. This is not optional.
| Step | Artifact | Producer |
|---|---|---|
| 1 | deck_inventory.json | Agent (heredoc) |
| 2 | stage_profile.json | Agent (heredoc) |
| 3 | slide_reviews.json | Agent (heredoc) |
| 4 | checklist.json | checklist.py |
| 5 | Report | compose_report.py |
Rules:
references/artifact-schemas.md for the JSON schema{"skipped": true, "reason": "..."}Keep the founder informed with brief, plain-language updates at each step. Never mention file names, scripts, or JSON. After each analytical step (3–4), share a one-sentence finding before moving on.
SCRIPTS="$CLAUDE_PLUGIN_ROOT/skills/deck-review/scripts"
REFS="$CLAUDE_PLUGIN_ROOT/skills/deck-review/references"
if ls "$(pwd)"/mnt/*/ >/dev/null 2>&1; then
ARTIFACTS_ROOT="$(ls -d "$(pwd)"/mnt/*/ | head -1)artifacts"
elif ls "$(pwd)"/sessions/*/mnt/*/ >/dev/null 2>&1; then
ARTIFACTS_ROOT="$(ls -d "$(pwd)"/sessions/*/mnt/*/ | head -1)artifacts"
else
ARTIFACTS_ROOT="$(pwd)/artifacts"
fi
If CLAUDE_PLUGIN_ROOT is empty, fall back: Glob for **/founder-skills/skills/deck-review/scripts/checklist.py, strip to get SCRIPTS, derive REFS.
If ARTIFACTS_ROOT resolves to $(pwd)/artifacts but no artifacts/ directory exists at $(pwd): The workspace may not be mounted yet. Use Glob with pattern **/artifacts/founder_context.json to locate existing artifacts, and derive ARTIFACTS_ROOT from the result. If nothing is found, mkdir -p "$ARTIFACTS_ROOT" and proceed.
REVIEW_DIR="$ARTIFACTS_ROOT/deck-review-{company-slug}"
mkdir -p "$REVIEW_DIR"
deck_inventory.jsonRead the provided deck. For each slide, extract: headline, content summary, visuals description, word count estimate. Record metadata: company name, total slides, format, any claimed stage or raise amount.
stage_profile.jsonDetermine pre-seed/seed/series-a from signals in the deck. Read references/deck-best-practices.md for stage-specific frameworks. Record: detected stage, confidence, evidence, whether AI company, expected slide framework, stage benchmarks.
Stage signals: Pre-seed: no revenue, LOIs/waitlist, prototype, <$2.5M ask. Seed: early ARR, paying customers, <$6M ask. Series A: $1M+ ARR, cohort data, repeatable GTM, $10M+ ask. Later-stage: set detected_stage to "series_b" or "growth" — compose report flags this as out of calibrated scope. If ambiguous, ask the user.
slide_reviews.jsonCompare each slide against the stage-specific framework and non-negotiable principles. For each slide: identify strengths, weaknesses, and specific recommendations. Map to expected framework. Flag missing expected slides.
Critical: Every critique must cite a specific best-practice principle. No vague feedback.
checklist.jsonEvaluate all 35 criteria from references/checklist-criteria.md. For non-AI companies, mark AI category items as not_applicable.
cat <<'CHECKLIST_EOF' | python3 "$SCRIPTS/checklist.py" --pretty -o "$REVIEW_DIR/checklist.json"
{
"items": [
{"id": "purpose_clear", "status": "pass", "evidence": "Sequoia: single declarative sentence", "notes": "Clear one-liner with quantified outcome"},
...all 35 items...
]
}
CHECKLIST_EOF
Evidence required: Always provide evidence for fail and warn items.
python3 "$SCRIPTS/compose_report.py" --dir "$REVIEW_DIR" --pretty -o "$REVIEW_DIR/report.json"
Fix high-severity warnings and re-run. Use --strict to enforce a clean report.
Primary deliverable: Read report_markdown from the output JSON, write it to $REVIEW_DIR/report.md, and display it to the user in full. Present the file path so the user can access it directly. Then add coaching commentary.
python3 "$SCRIPTS/visualize.py" --dir "$REVIEW_DIR" -o "$REVIEW_DIR/report.html"
Present the HTML file path to the user so they can open the visual report.
Copy final deliverables to workspace root: {Company}_Deck_Review.md, .html (if generated), .json (optional).
score_pct = pass / (total - not_applicable) x 100npx claudepluginhub lool-ventures/founder-skills --plugin founder-skillsReads an HTML pitch deck and returns 5-7 slide-specific observations covering problem clarity, solution clarity, traction visibility, ask specificity, and design coherence. No numerical score or stage comparison.
Generates professional investor pitch decks with structured narrative, visual design, and a 12-slide framework. Produces .pptx via Python script.
Generates slide deck presentations from briefs with optional research, outline approval, and PPTX export.