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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See how to installReview the instructions the agent will receive before you install.
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 firstNo reviews yet. Tell others what you thought.
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Download a small corpus of open-access arXiv survey/review PDFs about agentic systems and extract text for style learning.
The English summary is being prepared. Showing the original description.
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`).
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