Individual skill
literature-engine
ALWAYS activate when the user needs to find, organize, review, or synthesize academic literature. Uses academic APIs (Semantic Scholar, OpenAlex, CrossRef, arXiv) via scripts/academic_search.py. Handles search strategy, snowballing, screening, concept matrices, narrative synthesis, and literature monitoring (detecting new publications since last search). NEVER use web scraping for paper discovery — APIs first, web search only for verification.
skills/literature-engine/SKILL.md
Source commit 160df4d13d266411f0850c4de7ecdbd93e8b40be
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 20
- Repository last updated
- Apr 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-writing Repository topic
- arxiv Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-code-plugin Repository topic
- claude-skills Repository topic
- constitutional-ai Repository topic
- mcp Repository topic
- open-science Repository topic
- paper-generation Repository topic
- research Derived category
- productivity Derived category
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> **Orchestration Log**: When this skill is activated, append a log entry to `outputs/orchestration_log.md`:
> ```
> ### Skill Activation: Literature Engine
> **Timestamp:** [current date/time]
> **Actor:** AI Agent (literature-engine)
> **Input:** [brief description of the search/synthesis request]
> **Output:** [brief description of results — e.g., "47 papers found across 4 databases, deduplicated to 38"]
> ```
# Literature Engine
## Data Source Priority — STRICT
1. **Academic APIs** via `scripts/academic_search.py` — ALWAYS first