# Send Literature Manager to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "literature-manager", "name": "Literature Manager", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/IsonaEi/literature-manager", "canonicalUrl": "https://clawhub.ai/IsonaEi/literature-manager", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/literature-manager", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=literature-manager", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "scripts/audit.sh", "scripts/convert.sh", "scripts/download.sh", "scripts/verify.sh" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-30T16:55:25.780Z", "expiresAt": "2026-05-07T16:55:25.780Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/literature-manager" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/literature-manager", "downloadUrl": "https://openagent3.xyz/downloads/literature-manager", "agentUrl": "https://openagent3.xyz/skills/literature-manager/agent", "manifestUrl": "https://openagent3.xyz/skills/literature-manager/agent.json", "briefUrl": "https://openagent3.xyz/skills/literature-manager/agent.md" } } ``` ## Documentation ### Literature Manager Manage academic literature collections: search → download → convert → organize → verify. ### Dependencies pdftotext (poppler-utils) — PDF text extraction curl — downloading python3 — JSON processing in audit file (coreutils) — PDF validation uvx markitdown[pdf] (optional) — fallback PDF→MD converter (note: plain uvx markitdown does NOT work for PDFs — must use uvx markitdown[pdf]) ### Quick Start # Download a single paper by DOI bash scripts/download.sh "10.1038/s41592-024-02200-1" output_dir/ # Convert PDF to markdown bash scripts/convert.sh paper.pdf output.md # Verify a single PDF+MD pair bash scripts/verify.sh paper.pdf paper.md # Full audit of a references/ folder bash scripts/audit.sh /path/to/references/ ### 1. Search Use web_fetch on Google Scholar: https://scholar.google.com/scholar?q=QUERY&as_ylo=YEAR Extract: title, authors, year, journal, DOI, PDF links. For each result, identify the best open-access PDF source (see Download Strategy). ### 2. Download Run scripts/download.sh per paper. The script tries sources in order: Direct publisher PDF (Nature, eLife, Frontiers, PNAS, bioRxiv, arXiv) EuropePMC (PMC_ID → PDF) bioRxiv/arXiv preprint Sci-Hub — https://sci-hub.box/ (use when publisher is paywalled) # Sci-Hub download example: curl -L "https://sci-hub.box/10.1038/nature12345" -o paper.pdf ⚠️ Legal note: Sci-Hub may violate publisher terms of service or copyright law in some jurisdictions. Use only if you understand and accept the legal implications in your context. If all sources fail (including Sci-Hub), flag as permanent paywall. Provide the user with the DOI and ask for manual download. ### 3. Convert Run scripts/convert.sh . Uses pdftotext (reliable) with uvx markitdown[pdf] as fallback. # Correct markitdown command for PDFs: uvx markitdown[pdf] input.pdf > output.md # ⚠️ The following will NOT work for PDFs (missing [pdf] extra): # uvx markitdown input.pdf Prefer uvx markitdown[pdf] over pdftotext when full fidelity (tables, figures captions) matters. ### 4. Organize Standard folder structure: references/ ├── README.md # Human index (summaries per category) ├── index.json # Machine index (structured metadata) ├── RESOURCES.md # Code repos + datasets ├── resources.json # Structured version ├── / │ ├── papers/ # PDFs │ └── markdown/ # Converted text └── / ├── papers/ └── markdown/ Categories are user-defined. Number-prefix for sort order (e.g., 01-theoretical-frameworks/). index.json schema per paper { "id": "short_id", "title": "Full title", "authors": ["Author1", "Author2"], "year": 2024, "journal": "Journal Name", "doi": "10.xxxx/...", "category": "category_name", "subcategory": "optional", "pdf_path": "category/papers/filename.pdf", "markdown_path": "category/markdown/filename.md", "tags": ["tag1", "tag2"], "one_line_summary": "English one-liner", "key_concepts": ["concept1"], "relevance_to_project": "English description" } README.md pattern Per category section, per paper: title, authors, year, journal, DOI, short summary in user's language. ### 4b. DOI-Based Filenames & Path Mapping Downloaded files are often named using DOI format rather than AuthorYear: 10-1038_ncomms3018.md # DOI: 10.1038/ncomms3018 10-1016_j-neuron-2015-03-034.md When markdown_path entries in index.json become stale (e.g., after folder reorganization), maintain a separate mapping file: // temp/paper_md_mapping.json { "author2024_keyword": "references/new-downloads/10-1038_s41592-024-02200-1.md", ... } To build this mapping: cross-reference each paper's DOI in index.json against actual files on disk. Use find + Python to automate. index.json Known Pitfalls id: null corruption: If many entries have id=null and share the same pdf_path, the index was likely corrupted during a batch write. Rebuild from actual files on disk. DOI errors: Verify DOIs resolve correctly — typos in DOI fields are common (e.g., wrong suffix digits). Always cross-check with publisher page. Dead markdown_path: After restructuring folders, markdown_path in index.json often points to old locations. Use the mapping file above as the source of truth. ### 5. Verify Run scripts/audit.sh for full verification: Every PDF is valid (file -b = PDF) Every PDF title matches filename (pdftotext | head) Every PDF has matching markdown (and vice versa) index.json is valid, complete, paths exist, no duplicate IDs README.md stats match actual counts ### 6. Collect Resources For tool/method papers, find GitHub repos and public datasets. Store in RESOURCES.md + resources.json. ### Sub-agent Strategy For large batches, parallelize: Download: 1 sub-agent per batch of ~5-8 papers Organize: 1 sub-agent to build indexes Verify: 1 independent sub-agent (never the same as organizer) Always use a separate sub-agent for verification (QC should not self-grade). ### ⚠️ Sub-agent Rules (Learned from Practice) One batch at a time — do not spawn multiple note-writing batches simultaneously; LLM rate limits will cause silent failures Set a cron monitor whenever spawning long-running agents — agents can fail silently without triggering auto-announce; cron catches this Cron monitor pattern: 1. Spawn agent(s) 2. Immediately set a cron job (every 10-15 min, isolated agentTurn) → Check if expected output files exist → Re-spawn failed agents → When all complete: announce + delete cron 3. After task finishes, confirm cron was removed ### Adding Papers Incrementally To add papers to an existing collection: Download + convert new papers into correct category folder Append entries to index.json Update README.md stats Run audit to verify consistency ## Trust - Source: tencent - Verification: Indexed source record - Publisher: IsonaEi - Version: 1.1.1 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-30T16:55:25.780Z - Expires at: 2026-05-07T16:55:25.780Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/literature-manager) - [Send to Agent page](https://openagent3.xyz/skills/literature-manager/agent) - [JSON manifest](https://openagent3.xyz/skills/literature-manager/agent.json) - [Markdown brief](https://openagent3.xyz/skills/literature-manager/agent.md) - [Download page](https://openagent3.xyz/downloads/literature-manager)