ace-tool
Semantic codebase search, code indexing, and prompt enhancement via standalone CLI. Use when: (1) Semantic code search with…
Search CrossRef, OpenAlex, PubMed, Semantic Scholar, and optional Scopus; deduplicate results, download open-access PDFs by DOI, classify papers, monitor new results, and analyze coverage. Use when asked to search literature, monitor a topic, download an open-access paper,
Claude Code
$ npx -y skills add Dianel555/DSkills --skill literature-searcher --agent claude-code
Codex
$ npx skills add Dianel555/DSkills --skill literature-searcher -a codex -y
Cursor
$ npx skills add Dianel555/DSkills --skill literature-searcher -a cursor -y
Gemini CLI
$ npx skills add Dianel555/DSkills --skill literature-searcher -a gemini-cli -y
GitHub Copilot
$ npx skills add Dianel555/DSkills --skill literature-searcher -a github-copilot -y
OpenCode
$ npx skills add Dianel555/DSkills --skill literature-searcher -a opencode -y
Windsurf
$ npx skills add Dianel555/DSkills --skill literature-searcher -a windsurf -y
name: literature-searcher description: | Search CrossRef, OpenAlex, PubMed, Semantic Scholar, and optional Scopus; deduplicate results, download open-access PDFs by DOI, classify papers, monitor new results, and analyze coverage. Use when asked to search literature, monitor a topic, download an open-access paper, classify papers, or analyze literature gaps.
Run all commands from `skills/literature-searcher`. The package uses only the Python standard library.
python -m literature_searcher.searcher search "ionogel flexible sensor" --limit 10 python -m literature_searcher.searcher search "solid electrolyte" \ --platform openalex --platform semantic_scholar --year-from 2020 --year-to 2024
Without `--platform`, the command searches CrossRef, OpenAlex, PubMed, and Semantic Scholar. Scopus requires `ELSEVIER_API_KEY`.
python -m literature_searcher.searcher download --doi 10.1016/j.cej.2022.135593
Downloads query Unpaywall by default. Enable the optional `scihub-cli` fallback explicitly with `--scihub-fallback auto`.
New-Item -ItemType Directory -Force data | Out-Null Copy-Item monitor_config.json.template data/monitor_config.json
Set `queries` in `data/monitor_config.json`, then run:
python -m literature_searcher.monitor --config data/monitor_config.json python -m literature_searcher.insight --input data/monitor_results.json
Monitoring uses the HTTPS DeepLX endpoint in `DEEPLX_ENDPOINT` by default and does not require a DeepL API key. To use a local OpenAI-compatible model service, set `LOCAL_LLM_BASE_URL` and `LOCAL_LLM_MODEL`, then pass `--translator local_llm`. Translation failures are recorded in the result JSON and do not stop monitoring.
| Capability | Import | Entry point | | --- | --- | --- | | Multi-platform search | `literature_searcher.searcher` | `search_papers()` | | Result deduplication | `literature_searcher.searcher` | `merge_and_deduplicate()` | | PDF download | `literature_searcher.downloader` | `Downloader.download_by_doi()` | | Paper classification | `literature_searcher.classifier` | `PaperClassifier.classify()` | | Incremental monitoring | `literature_searcher.monitor` | `run_monitor()` | | Coverage analysis | `literature_searcher.insight` | `analyze_coverage()` |
`PaperClassifier.classify()` and `batch_classify()` accept both mappings and objects with paper attributes.
The package reads these optional variables from the process environment: `LITERATURE_EMAIL`, `OPENALEX_EMAIL`, `OPENALEX_API_KEY`, `SEMANTIC_SCHOLAR_API_KEY`, `ELSEVIER_API_KEY`, `DEEPLX_ENDPOINT`, `LOCAL_LLM_BASE_URL`, and `LOCAL_LLM_MODEL`. Copy `.env.example` to `.env` in the skill directory to load values automatically. Variables already exported by the calling shell take precedence.
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Ask which skill or flow fits your situation. A router over the skills in this repo.