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Get Started Free →Structured literature search + synthesis with citation extraction, thematic clustering, and gap identification. Use when user says "find papers on X", "do a lit review", "what's the literature on...", "summarize what we know about...", "where's the gap in this field", "review recent work on Y". Produces a written review with BibTeX-ready citations. Uses WebSearch/WebFetch for recent work.
.claude/skills/pedrohcgs-lit-review/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-17 | ✗→✓ | ▲ Improved | 19% | 0% |
| case-25 | ✗→✓ | ▲ Improved | 90% | 0% |
| case-05 | ✓→✗ | ▼ Worse | -55% | 0% |
| case-18 | ✓→✗ | ▼ Worse | -77% | 0% |
| case-19 | ✓→✗ | ▼ Worse | -51% | 0% |
Conduct a structured literature search and synthesis on the given topic.
Input: $ARGUMENTS — a topic, paper title, research question, or phenomenon to investigate.
$ARGUMENTS. If a specific paper is named, use it as the anchor.master_supporting_docs/supporting_papers/ for uploaded papersWebSearch to find recent publications (if available)WebFetch to access working paper repositories (if available).bib file for papers already in the projectquality_reports/lit_review_[sanitized_topic].mdmarkdown# Literature Review: [Topic] **Date:** [YYYY-MM-DD] **Query:** [Original query from user] ## Summary [2-3 paragraph overview of the state of the literature] ## Key Papers ### [Author (Year)] — [Short Title] - **Main contribution:** [1-2 sentences] - **Method:** [Identification strategy / data] - **Key finding:** [Result with effect size if available] - **Relevance:** [Why it matters for our research] [Repeat for 5-15 papers, ordered by relevance] ## Thematic Organization ### Theoretical Contributions [Grouped discussion] ### Empirical Findings [Grouped discussion with comparison across studies] ### Methodological Innovations [Methods relevant to the topic] ## Gaps and Opportunities 1. [Gap 1 — what's missing and why it matters] 2. [Gap 2] 3. [Gap 3] ## Suggested Next Steps - [Concrete actions: papers to read, data to obtain, methods to consider] ## BibTeX Entries
@article{...}
Before returning the draft literature review to the user, run the Post-Flight Verification protocol from .claude/rules/post-flight-verification.md. Literature reviews are very high hallucination risk because WebSearch can return plausible-sounding fabricated citations. CoVe catches this architecturally.
claim-verifier via the Agent tool with subagent_type=claim-verifier and context=fork. Pass: the claims table, the verification questions, the source-material pointers (paper URLs, DOIs, master_supporting_docs/ paths). Do NOT pass the draft text itself — the fresh-context independence is what makes CoVe work.--no-verify flag — user opts out for speed.Append a Post-Flight block to the report (collapsed by default). See rule doc for the format.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-03 | fail→fail | 49,683 | 13,206 | -73% | 1 | 1 | 0% | 8,294 | 1,977 | -76% | 0 | 0 | — |
case-01 | fail→fail | 5,186 | 67,076 | +1193% | 1 | 1 | 0% | 285 | 1,483 | +420% | 0 | 0 | — |
case-02 | fail→fail | 143,330 | 37,258 | -74% | 1 | 1 | 0% | 8,292 | 1,567 | -81% | 0 | 0 | — |
case-04 | fail→fail | 17,333 | 10,126 | -42% | 1 | 1 | 0% | 2,581 | 1,448 | -44% | 0 | 0 | — |
case-05 | pass→fail | 18,393 | 7,974 | -57% | 1 | 1 | 0% | 3,463 | 1,567 | -55% | 0 | 0 | — |
case-06 | fail→fail | 3,903 | 6,721 | +72% | 1 | 1 | 0% | 606 | 1,646 | +172% | 0 | 0 | — |
case-07 | fail→fail | 18,861 | 7,507 | -60% | 1 | 1 | 0% | 2,754 | 1,361 | -51% | 0 | 0 | — |
case-08 | pass→pass | 31,234 | 59,840 | +92% | 1 | 1 | 0% | 5,812 | 5,904 | +2% | 0 | 0 | — |
case-09 | fail→fail | 46,962 | 7,742 | -84% | 1 | 1 | 0% | 8,221 | 1,766 | -79% | 0 | 0 | — |
case-10 | fail→fail | 43,042 | 45,412 | +6% | 1 | 1 | 0% | 7,632 | 1,396 | -82% | 0 | 0 | — |
case-11 | fail→fail | 51,261 | 11,192 | -78% | 1 | 1 | 0% | 8,113 | 2,241 | -72% | 0 | 0 | — |
case-12 | fail→fail | 49,656 | 49,453 | -0% | 1 | 1 | 0% | 8,218 | 9,674 | +18% | 0 | 0 | — |
case-13 | fail→fail | 47,500 | 47,567 | +0% | 1 | 1 | 0% | 8,215 | 1,496 | -82% | 0 | 0 | — |
case-14 | fail→fail | 41,514 | 8,115 | -80% | 1 | 1 | 0% | 6,571 | 1,763 | -73% | 0 | 0 | — |
case-15 | fail→fail | 30,687 | 8,217 | -73% | 1 | 1 | 0% | 4,908 | 1,456 | -70% | 0 | 0 | — |
case-16 | fail→fail | 23,575 | 7,223 | -69% | 1 | 1 | 0% | 3,719 | 1,243 | -67% | 0 | 0 | — |
case-22 | fail→fail | 36,548 | 12,180 | -67% | 1 | 1 | 0% | 5,587 | 1,406 | -75% | 0 | 0 | — |
case-17 | fail→pass | 39,193 | 40,700 | +4% | 1 | 1 | 0% | 6,480 | 7,728 | +19% | 0 | 0 | — |
case-18 | pass→fail | 39,903 | 7,760 | -81% | 1 | 1 | 0% | 6,927 | 1,574 | -77% | 0 | 0 | — |
case-19 | pass→fail | 23,026 | 16,500 | -28% | 1 | 1 | 0% | 3,503 | 1,703 | -51% | 0 | 0 | — |
case-20 | pass→fail | 35,117 | 52,705 | +50% | 1 | 1 | 0% | 5,702 | 1,777 | -69% | 0 | 0 | — |
case-21 | fail→fail | 31,764 | 7,563 | -76% | 1 | 1 | 0% | 5,525 | 1,544 | -72% | 0 | 0 | — |
case-23 | fail→fail | 48,288 | 7,548 | -84% | 1 | 1 | 0% | 8,216 | 1,718 | -79% | 0 | 0 | — |
case-24 | fail→fail | 26,225 | 10,163 | -61% | 1 | 1 | 0% | 4,447 | 2,213 | -50% | 0 | 0 | — |
case-25 | fail→pass | 31,288 | 48,166 | +54% | 1 | 1 | 0% | 4,893 | 9,287 | +90% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 25 cases were attempted, and 4 counted toward the lift figure. The other 21 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of -8 percentage points is the difference between those two pass rates over the 4 comparable cases. 6 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 8/13/2026 | — |
Other measured skills in the registry, with their headline benchmark lift.