gap-to-topic

name: gap-to-topic description: Turn a research area into a go/no-go decision dossier for ONE candidate thesis/proposal topic — a 3-gate verdict (is the gap open? is it a contribution? is it feasible?) with the evidence laid out so the researcher can verify it. Use when the user asks "is this gap worth pursuing", "help me pick a thesis topic", "is this idea already taken", "find me a defensible research gap", "vet this research idea before I commit", or "should I do this". NOT a literature review (use literature-triage-matrix for a comparison matrix) and NOT a study design (use research-design-helper once a topic is chosen). Produces a .research/topic_dossier.md, a .research/topic_dossier.docx (Word, colour-coded), a .bib, and a .gaps.yml. compatibility: Pure agentskills.io-spec skill. Domain-agnostic; works alongside Zotero/Obsidian/NotebookLM workflows but requires none of them.

gap-to-topic

Choosing a thesis or proposal topic is not "do a literature review." It is a decision under uncertainty: given everything already known, what should I do next, and why is it defensible? This skill produces the document that decision actually needs — a 3-gate decision dossier for one (or a few) candidate breakthrough points.

It deliberately stops short of the verdict. It assembles the evidence for three gates and hands the final "is this worth doing" call back to the researcher and their advisor — where it belongs.

When to use

Trigger phrases:

• "Is this research gap worth pursuing?"
• "Help me pick a thesis / proposal topic."
• "Is this idea already taken? / has someone done this?"
• "Find me a defensible research gap in ."
• "Vet this research idea before I commit."
• "Should I do this? / should I commit to this?"

Not for:

• A comparison matrix over a known paper set — that's literature-triage-matrix.
• Designing the study once a topic is chosen — that's research-design-helper (gap-to-topic decides which topic; research-design-helper designs how).
• A narrative literature review — that's a writing task.
• Building manuscript claim memory — that's paper-memory-builder.

What it produces

.research/topic_dossier.md and .research/topic_dossier.docx — a research-grade decision memo in Markdown and as a colour-coded Word document: first page enables a decision; the body supports verification; the appendices support a re-run. Reads top-to-bottom in Word with no decoding — no codes (G1/G2 stay only in .gaps.yml), no decorative glyphs, plain-language verdicts, decision-relevant tables in the body and reference / log tables in the appendices. Verdict cells are colour-coded in the .docx (light red / yellow / green / grey by verdict phrase, bilingual en + zh-TW).

(SKILL.md §0–§4 below are the agent's internal workflow steps; they map to the reader-facing sections above — §0 → §2 Candidate Definitions, §1 → §3 Decision Scorecards + §4 Evidence Base + §5 Gate 1, etc.)

Plus two machine-readable companions: <dossier>.bib (the Gate 1 reference list as BibTeX) and <dossier>.gaps.yml (structured candidates + verdicts + open questions — keeps the machine ids and enum tokens).

The go/no-go test is a 3-gate AND — a candidate that fails ANY gate is a no-go. The dossier is a thinking tool, not a polished report.

Inputs

In priority order:

1. A research area or a candidate idea, stated by the user in conversation.
2. .research/literature_matrix.md — produced in §1 step 2, or reused (appended to) if an earlier run already wrote one.
3. .research/claims.yml if it exists — only when the user is also drafting a manuscript; its status: gap claims cross-link to §2.
4. The user's free-text answers during the §0 and §3 conversational steps.

This skill orchestrates other research-hub capabilities as tools: search --adversarial --screen --json (§1 step 1 — recall, the fit-check BM25 relevance gate, and the metadata the .bib is built from) and literature-triage-matrix (§1 step 2 — turns the on-topic search results into the prior-art comparison matrix). paper gaps is used only when a relevant ingested cluster already exists — at topic-selection time it usually does not, so the search → literature-triage-matrix path is the default. Note: cite --format bibtex is not used for the §1 .bib — it resolves identifiers only against an already-ingested Zotero library, and at topic-selection time the candidate papers are not ingested (see §1 step 3).

Workflow

Run §0–§4 in order. Each section has a fixed contract; do not skip a gate.

§0 — Candidate breakthrough point(s)

Socratic, like research-design-helper. Help the user articulate 1–N candidates. Do not invent the topic. For each candidate:

• Give it a short, readable name — it becomes the candidate's heading in the dossier ("The candidates" section). The G1 / G2 id is only a machine tag for the .gaps.yml companion; it must never be the reader's primary label.
• Classify the opening type, and write it in plain words in the dossier:
  • Type A — method-limitation opening: an existing method cannot do X ("traditional ABM cannot give agent profiles via text").
  • Type B — unoccupied-application opening: no one has applied a capability to a domain ("no one has used LLMs for X").

A multi-gap candidate is decomposed into its constituent gaps; every later gate runs per gap.

§1 — Gate ① — Open?

Incomplete recall is the dominant failure mode: a missed paper makes a gap look open when it is not. So this gate is adversarial:

1. Run research-hub search --adversarial --screen --json on the gap. It searches several query phrasings, reports a recall-confidence verdict, and applies the fit-check BM25 relevance gate. With --screen --json the output is an object {screening_summary, results}: results is the per-paper list (title, DOI / arXiv ID, year, authors, venue, plus a relevance field — score / kept / tier / reason), and screening_summary gives the retrieved / kept / screened-out counts. --screen never drops a paper — it tags relevance, so recall stays auditable. If --adversarial or --screen is unavailable (older CLI), run several query phrasings by hand and record the reduced recall confidence in the dossier.
2. From results, take the on-topic papers — those the relevance gate tagged kept: true — and feed them to literature-triage-matrix (as its input #0, a Markdown list of titles + DOIs / arXiv IDs) to produce .research/literature_matrix.md: the structured prior-art comparison (per paper — method, main claim, evidence, limitation, relevance). Papers tagged kept: false are off-topic noise — keep them out of the matrix, the .bib and the openness reasoning. This matrix is a real workflow output — it is what the openness judgement in step 4 and the §2 gates read, not an assumed pre-existing input. If a literature_matrix.md from an earlier run exists, literature-triage-matrix appends to it; if either skill is unavailable, reason directly over the results and record the reduced structure in the dossier.
3. Build the complete reference list (real DOIs / arXiv IDs) as the .bib companion from the on-topic results metadata (the same kept: true set as step 2) — this is the trust artifact; the researcher must be able to verify "open" themselves. Do not use cite --format bibtex here: cite resolves identifiers only against an already-ingested Zotero library, and at topic-selection time the candidate papers are not ingested. Every entry must carry a resolvable DOI or arXiv ID; drop any paper whose identifier did not resolve (an unverifiable reference is not a trust artifact).
4. Record the recall-confidence verdict as a headline, not a footnote, and report the screening_summary counts (retrieved vs on-topic) so the reader sees how much of the corpus was off-topic noise. Reason the per-gap openness over the step-2 matrix.

A gap is never declared "open" on the basis of "absent from my corpus" — absence in a corpus is not absence in the literature.

§2 — Gate ② — A contribution?

Two parts — see the references for the full method:

• Dead-end history (references/dead-end-history.md): find the "tried-but-unsolvable" history. A gap can be open because the field gave up on it (a dead end), not because no one tried.
• Contribution typing (references/contribution-typing.md): classify the candidate as problem-solving or incremental. This is a descriptive lens, not a quality verdict — incremental is not "not worth doing."

§3 — Gate ③ — Feasible?

Front-loaded by design: the researcher must know feasibility before building the research framework, before spending money and running experiments. Socratically establish data / resource accessibility — is the data public? what does it cost? how long to obtain? — and record a verdict.

§4 — Handed back to the human

The dossier ends by stating explicitly: it has assembled the three gate-verdicts; whether the gap is worth doing is the researcher's and advisor's call. The skill never makes that call.

§4.5 — Generate .docx

After .research/topic_dossier.md is written, run the bundled generator to produce the matching Word deliverable:

# From the dossier's output directory (e.g. .research/ or en/)
node /path/to/skills/gap-to-topic/scripts/dossier_to_docx.js topic_dossier [--no-toc]

Prerequisite: npm install -g docx (or cd scripts && npm install docx for a local install). See scripts/README.md for full invocation details and the zh-TW case.

The script produces topic_dossier.docx alongside the .md. It colour-codes verdict cells (light red / yellow / green / grey), auto-selects font (Microsoft JhengHei for zh-TW filenames, Arial otherwise), skips Markdown separator rows, and inserts a TOC + page break after the first table (suppress with --no-toc).

Honesty rules

• Never decide "worth it." §4 is a hard boundary.
• Quote verification: every evidence quote in §1/§2 must be confirmed to exist in the cited source; an unverified quote is dropped, not downgraded.
• Absence is not proof: every "open" verdict carries the recall caveat.
• Screening-grade, not systematic: the dossier says so in §4.
• No fabricated identifiers: every DOI / arXiv ID must resolve.

References

• references/dossier-template.md — the blank reader-first dossier + companion-file schemas.
• references/dead-end-history.md — §2 dead-end detection method.
• references/contribution-typing.md — §2 contribution-type classification.