Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning.
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Internal template for creating or refactoring a skill into the repository's reference-first shape. **Trigger**: reference-first template, blueprint skill, create a reusable skill, refactor a script-heavy skill. **Use when**: you need a lean `SKILL.md`, explicit `references/`, machine-readable `assets/`, and a minimal deterministic `run.py`.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
This package is the default starting point for new or refactored skills in this repo.
It demonstrates the intended split of responsibilities:
SKILL.md routes the workflowreferences/ holds method, judgment, and exemplarsassets/ holds machine-readable contractsscripts/ handles deterministic execution onlyUse it as a shape to copy and customize, not as a domain-specific skill.
SKILL.mdreferences/overview.mdreferences/examples_good.mdreferences/examples_bad.mdassets/schema.jsonscripts/run.pySKILL.md as a routerreferences/references/overview.mdreferences/examples_good.md and references/examples_bad.mdSKILL.md; avoid deep reference chainsassets/assets/assets/schema.json for the structured artifact that the skill validates or emitsscripts/run.py deterministicSKILL.md explicitly tells the agent when to read each reference filereferences/references/overview.md before customizing or applying this template.references/examples_good.md when the skill writes reader-facing text or shapes another writer skill.references/examples_bad.md when cleaning up generator voice, pipeline jargon, or weak deliverable framing.assets/schema.json: a generic contract for a reference-first skill manifest; adapt it to the concrete skill you are building.scripts/run.py is a minimal validator and manifest builder.Stop and fix the package before reuse if any of these are true:
SKILL.md duplicates long reference content instead of routing to references/run.py contains domain defaults, sentence libraries, or filler proseSKILL.md stays lean and references other files explicitlyreferences/ contains the actual method and exemplarsassets/ contains machine-readable contracts onlyscripts/run.py stays deterministic and smallSKILL.md and the referenced files without reading all Python first还没有评价。欢迎分享你的使用感受。
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Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning.
中文简介正在准备中。当前显示原文说明。
Extract per-subsection “anchor facts” (NO PROSE) from evidence packs so the writer is forced to include concrete numbers/benchmarks/limitations instead of generic summaries.
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Curate reader-facing survey tables for the Appendix (clean layout + high information density), using only in-scope evidence and existing citation keys.
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Build a final, machine-readable argument snapshot from current H3 sections and refresh section fingerprints before merge.
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Audit one research Workspace for declared Unit outputs and Pipeline target Artifacts, writing `output/CONTRACT_REPORT.md`; use for mid-Run coverage snapshots or final delivery completeness, not deep provenance integrity.
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Retrieve arXiv paper metadata with keyword queries or import an offline arXiv export, and save results as JSONL (`papers/papers_raw.jsonl`).
中文简介正在准备中。当前显示原文说明。