Skills for Real Engineers. Straight from my .agents directory.
39 skills
ts-idea2story
Agent skill from
Turn a raw research idea into a compelling, well-grounded research STORY (an 8-field structured proposal) ready to feed the ts-paper pipeline. Claude does almost everything natively — idea packaging, recall reasoning over a knowledge graph, agentic external literature search (WebSearch/WebFetch), story generation, and a critique→refine→fusion loop; tiny scripts do only embeddings/recall math and the schema gate. Emits story.json + story_proposal.md + retrieved_papers.json (a citation seed the cite stage reuses, so paper-writing searches less). Use when the user has an idea (not yet a full proposal) and wants a paper-ready story.
How to install ts-idea2story
install ts-idea2story
# install the spark-to-paper-skills pack with the skills CLI
npx skills add Spark-To-Paper-Skills/spark-to-paper-skills# or add only this skill to Claude Code: copy the folder
skills/ts-idea2story/
# into
~/.claude/skills/ts-idea2story/ (all projects)
.claude/skills/ts-idea2story/ (one project)
1# ts-idea2story — idea → grounded research story (the upstream of ts-paper)23Distilled from the product's idea→story link. **The idea is the PROTAGONIST; a recalled/searched4pattern is the TOOL it wields.** Claude is the packager, the recaller, the searcher, the storyteller,5and the critic — all in one context (so coherence and anti-stacking come for free). Two scripts are6irreducible: `kg_recall.py` (vector/graph retrieval) and `story_lint.py` (the gate); embeddings7(optional) reuse `../ts-kg-build/scripts/embed.py`'s `TS_EMBED_*` config.89## Inputs / Outputs10**In:** a raw idea (text); optional `kg/` dir (from `ts-kg-build`, or the bundled `kg_ts`); optional11`TS_EMBED_*` endpoint; a `retrieval_focus` dial in {trust_kg, balanced, go_search_web}.12**Out (in the workdir):**13- `story.json` — the 8 fields: `title, abstract, problem_framing, gap_pattern, solution,14 method_skeleton, innovation_claims[], experiments_plan`.15- `story_proposal.md` — the Markdown projection of the 8 fields (this is what `ts-paper-plan` reads —16 a story IS a structured proposal; **story2paper == proposal2paper**).17- `retrieved_papers.json` — the real papers found, the **citation seed** for `ts-paper-cite` (§ Reuse).18- `logs/*.io.md`, optional `novelty_report.json`.1920## Procedure2122### 1. Package the idea (Claude)23Write `idea_brief.json`: `motivation, problem, assumptions_explicit[], assumptions_inferred[],24…
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