Design-first ideation workflow — explore user intent, clarify constraints, propose approaches, and produce an approved design document before planning
日本語の概要は準備中です。原文の説明を表示しています。
Search academic literature and generate, validate, or compare Knows paper sidecars. Use for claim/evidence analysis and literature synthesis.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Search, fetch, generate, validate, analyze, review, and compare scholarly paper sidecars using the Knows .knows.yaml spec for token-efficient research workflows.
.knows.yaml, knows.academy, OpenAlex, claims, evidence, relations, or paper sidecars..knows.yaml sidecars from your own paper drafts, LaTeX, or research notesknows.academy (2026 papers only; current counts via /api/proxy/jobs/stats)oma-searchoma-translationoma-pdf.knows.yaml sidecar, review sidecar, lint report, search/fetch result, natural-language analysis, or structural comparisonpaper@1 profileoma scholar CLI subcommandsresources/sidecar-spec.md, API endpoints, OpenAlex setup, upstream cache, checklist, and execution protocol| Action | SSL primitive | Evidence |
|---|---|---|
| Select mode | SELECT | Generate/Validate/Review/Analyze/Compare/Remote |
| Read paper or sidecar | READ | Source files or YAML |
| Request remote data | REQUEST | Knows/OpenAlex APIs |
| Infer claims/evidence/relations | INFER | Sidecar generation/analysis |
| Write sidecar | WRITE | .knows.yaml outputs |
| Validate sidecar | VALIDATE | oma scholar lint |
| Report result | NOTIFY | Summary or lint report |
oma scholar search|resolve|get|lintoma scholar search "<query>"
oma scholar resolve "<title-or-doi>"
oma scholar get "<record-id-or-doi>"
oma scholar lint "<paper.knows.yaml>"
| Scope | Resource target |
|---|---|
LOCAL_FS | Paper drafts, sidecar YAML, review sidecars |
NETWORK | knows.academy and OpenAlex APIs |
PROCESS | oma scholar CLI and lint |
USER_DATA | User-provided paper content and research notes |
paper@1 profile (review sidecars use review@1): verified against production sidecars from knows.academy; see resources/sidecar-spec.mdanthropic SDK or external LLM CLI; this skill runs inside an agentdoi: TODO or guesstitle, authors, venue, year live at the top level (no metadata wrapper)statement_type, evidence_type, predicate, artifact_type (not type/claim)provenance.actor is one object, NOT a provenance.actors array{claim_strength: ..., extraction_fidelity: ...}, both from high|medium|lowcoverage.statements (4-value enum) + coverage.evidence (3-value enum)tool|person|org (never ai/llm/model); artifact role subject|supporting|cited; predicates in present tensevalue: 22, never value: '22'supported_by evidence (checklist rule — lint enforces only the average-ratio warning and a per-id warning for statements with zero relations)stmt:privacy-budget-tradeoff, ev:cifar10-accuracy-table, art:paperoma scholar lint after Generate and Review; cross-record refs (record_id#local_id) in review sidecars are recognized and not flagged as danglinghttps://knows.academy/api/proxy/* is public; do not invent auth headerssection (singular): fixed enum statements|evidence|relations|artifacts|citationOPENALEX_API_KEY (metadata enrichment) and S2_API_KEY (Semantic Scholar dedicated rate limit) both improve throughput but the cascade degrades gracefully without themoma-config.yaml languageknows.md natural-language description; refresh resources/upstream-spec-cache.md periodically| Mode | Trigger | Output |
|---|---|---|
| Generate | "create sidecar from this paper / abstract / draft", "generate .knows.yaml" | {paper}.knows.yaml (host LLM emits, then oma scholar lint validates) |
| Validate | "lint this sidecar", "validate .knows.yaml" | Pass/fail report with file:line issues |
| Review | "peer review this paper as sidecar" | {paper}.review.knows.yaml |
| Analyze | "summarize this sidecar", "what claims does it make?" | Natural-language answer |
| Compare | "compare paper A and paper B structurally" | Diff table (claims/methods/evidence) |
| Remote | "find papers on X", "fetch sidecar :id", "get claims only for :id" | Search results / sidecar payload |
knows.academy currently indexes only 2026 papers (mostly arXiv). For
older or non-2026 papers (Transformer 2017, BERT 2018, classics, journals),
the skill automatically falls back to OpenAlex for metadata and abstract,
then to Semantic Scholar (AI TL;DR, citation + influential-citation
counts) when OpenAlex also has nothing. See resources/fallback-providers.md.
Use the oma scholar CLI subcommands:
# Hybrid search: knows first, OpenAlex fallback
oma scholar search "vision language action"
# Cross-source resolve: figures out which source has the right paper
oma scholar resolve "Attention Is All You Need"
# Get by id (knows record_id, OpenAlex W-id, DOI, arXiv:<id>, CorpusId:<n>)
oma scholar get "10.48550/arXiv.1706.03762"
When OpenAlex returns the answer (knows.academy lacks the paper), use the returned abstract as input to Mode 1 Generate to produce a local sidecar.
oma scholar search "diffusion super resolution"
oma scholar search --year-min 2024 "vision language action"
oma scholar resolve "Attention Is All You Need"
# returns top hit from each source + recommendation
# knows.academy full sidecar
oma scholar get "knows:generated/reconvla/1.0.0"
# Partial fetch (claims only, ~700 tokens, 93% reduction vs PDF)
oma scholar get --section statements "knows:generated/reconvla/1.0.0"
# By DOI or OpenAlex W-id (works regardless of knows.academy availability)
oma scholar get "10.48550/arXiv.1706.03762"
# Semantic Scholar: AI TL;DR + citation/influential-citation counts
oma scholar get "arXiv:1706.03762"
When knows.academy is unreachable, get knows:... automatically falls back
to OpenAlex by extracting the slug from the record_id. The result is marked
with fallback: "openalex" and contains metadata + abstract, useful for
running Mode 1 Generate locally.
# Strict mode for own Generate output (default)
oma scholar lint paper.knows.yaml
# Lenient mode for third-party / fetched sidecars
oma scholar lint --lenient remote.knows.yaml
# Treat warnings as failures (CI mode)
oma scholar lint --fail-on-warning paper.knows.yaml
About 47% of knows.academy-served sidecars contain at least one dangling
cross-reference (typo in subject_ref/object_ref, measured across 15
production samples). Use --lenient when consuming third-party records so
these surface as warnings rather than blocking errors.
curl -s "https://knows.academy/api/proxy/search?q=..."
curl -s "https://knows.academy/api/proxy/sidecars/<encoded-id>"
curl -s "https://knows.academy/api/proxy/partial?record_id=<id>§ion=statements"
curl -s "https://knows.academy/api/proxy/jobs/stats" # platform health
Project-specific settings: config/scholar-config.yaml. One key is user-tunable and lives elsewhere — read scholar.base_url from .agents/oma-config.yaml first and fall back to api.base_url in the skill config. Everything else there (endpoint paths, timeouts, id prefixes, lint rules) is protocol shape, not preference.
| Issue | Solution |
|---|---|
[ERROR] *.value: numeric value '22' is quoted | Remove quotes: value: '22' -> value: 22 |
[ERROR] provenance.actor.type: 'ai' is not allowed | Change to tool, person, or org |
[ERROR] *.type: use \statement_type` instead of `type`` | Rename type -> statement_type (or evidence_type/predicate/artifact_type) |
[ERROR] provenance.actors: v0.9 spec uses singular \actor`` | Replace actors: [{...}] array with actor: {...} object |
[ERROR] *.object_ref: reference 'X' does not match any defined id | Fix the subject_ref/object_ref to point to a real id, OR use --lenient if consuming third-party data (cross-record record_id#local_id refs are recognized and never flagged) |
[WARN] relations: avg relations/statement is N.NN (target ≥ 1.5) | Add more supported_by/depends_on relations |
[WARN] statements: only N statements; most papers warrant ≥ 8 | Expected when generating from abstract only; full-paper Generate should hit 15+ |
[WARN] *.predicate: past-tense '...' is suspicious | Switch to present tense (evaluated_on -> evaluates_on) |
| Remote API returns empty results | Try broader query; check /api/proxy/jobs/stats; CLI auto-falls-back to OpenAlex |
knows.academy search failed: fetch failed (stderr) | Platform timeout; fallback to OpenAlex is automatic; retry later for sidecars |
| OpenAlex 403/429 | Set OPENALEX_API_KEY (see resources/setup-openalex.md) |
semanticscholar error: HTTP 429 (stderr) | Anonymous pool throttled; CLI retries once then skips the source. Set S2_API_KEY (free form at semanticscholar.org/product/api) for a dedicated limit |
| YAML won't parse | Check indentation; numbers/booleans must be unquoted; strings with : need quotes |
resources/execution-protocol.mdresources/sidecar-spec.mdresources/api-endpoints.mdresources/setup-openalex.mdresources/upstream-spec-cache.mdresources/checklist.mdoma scholar search|resolve|get|lint (implementation under cli/commands/scholar/)../_shared/core/context-loading.md../_shared/core/quality-principles.md../../rules/i18n-guide.mdまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Design-first ideation workflow — explore user intent, clarify constraints, propose approaches, and produce an approved design document before planning
日本語の概要は準備中です。原文の説明を表示しています。
Generate Conventional Commits spec git commits (auto-separate by feature)
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' or 'competitive landing pages.' Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. Emphasizes deep research, modular content architecture, and varied section types beyond feature tables.
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content strategy," "what should I write about," "content ideas," "blog strategy," "topic clusters," or "content planning." For writing individual pieces, see copywriting. For SEO-specific audits, see seo-audit.
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' or 'copy sweep.' This skill provides a systematic approach to editing marketing copy through multiple focused passes.
日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to write, rewrite, or improve marketing copy for any page — including homepage, landing pages, pricing pages, feature pages, about pages, or product pages. Also use when the user says "write copy for," "improve this copy," "rewrite this page," "marketing copy," "headline help," or "CTA copy." For email copy, see email-sequence. For popup copy, see popup-cro.
日本語の概要は準備中です。原文の説明を表示しています。