Agent Skillsudecode/plate › research-wiki

research-wiki

GitHub

管理docs/research研究知识库,支持full和maintain两种模式。执行资料搜集、整理、更新及权威内容维护,确保信息完整准确并处理证据缺口。

.agents/skills/research-wiki/SKILL.md udecode/plate

触发场景

创建新的研究分支或专题 对现有研究内容进行维护和更新 需要全面搜集多源资料的深度研究任务 整理和综合分散的研究结论

安装

npx skills add udecode/plate --skill research-wiki -g -y
更多选项

非标准路径

npx skills add https://github.com/udecode/plate/tree/main/.agents/skills/research-wiki -g -y

不安装直接使用

npx skills use udecode/plate@research-wiki

指定 Agent (Claude Code)

npx skills add udecode/plate --skill research-wiki -a claude-code -g -y

安装 repo 全部 skill

npx skills add udecode/plate --all -g -y

预览 repo 内 skill

npx skills add udecode/plate --list

SKILL.md

Frontmatter
{
    "name": "research-wiki",
    "metadata": {
        "skiller": {
            "source": ".agents\/rules\/research-wiki.mdc"
        }
    },
    "description": "Operate the docs\/research compiled layer in either full or maintain mode. Use for research-lane creation, research upkeep, authority-sensitive corpus work, source summaries, concepts, systems, decisions, and open-question pages.",
    "argument-hint": "[full|maintain] <goal or area>",
    "disable-model-invocation": true
}

Research Wiki

Handle $ARGUMENTS. This is the reusable workflow for operating the docs/research compiled layer without turning research into one-off chat mush.

#$ARGUMENTS

Purpose

Turn the existing research command docs into one reusable skill entrypoint.

This skill should decide whether the job is:

  • a full ingest-and-compile pass
  • a maintain pass over an existing research lane

The support docs remain canonical detail:

Use them as sub-workflows, not as dead docs.

Core Rules

  • docs/research is the compiled layer; ../raw is the evidence layer.
  • Keep the workflow lossless relative to the support docs above.
  • Update the research layer itself, not just the chat answer.
  • If the topic is authority-sensitive and spans multiple likely corpora, do a full corpus-level ingest across the relevant source families instead of a narrow spot check.
  • In full mode, verify corpus completeness via an official-source discovery step before declaring a corpus missing, thin, or only partially evidenced.
  • In full mode, once official-source discovery confirms that the relevant raw family already exists locally, exhaust the strongest local raw hits before calling evidence gap or contradiction gap.
  • In full mode, every scoped corpus must end in an explicit disposition:
    • strongest evidence found
    • raw gap
    • compile gap
    • synthesis gap
    • freshness gap
    • evidence gap
    • contradiction gap
    • structure gap A full pass is not complete until every scoped corpus has one.
  • Do not confuse:
    • raw evidence
    • compiled source summaries
    • synthesized decisions
    • open questions
  • If evidence is thin or contradictory, say so explicitly and create an open-questions/ page instead of flattening uncertainty into fake law.

Read First

Always read:

  1. docs/research/README.md
  2. docs/research/index.md
  3. docs/research/log.md

Then choose one support doc:

Mode Selection

Use full when:

  • the topic is broad or thinly covered
  • the authority question is large enough that trusting the visible local slice would be reckless
  • raw evidence is missing, stale, or uneven
  • the surface spans multiple likely corpora
  • trigger behavior, input behavior, or product claims need a full corpus-level ingest

Examples:

  • compare Typora / Obsidian / Milkdown on one under-researched trigger surface
  • rebuild a weak authority lane
  • create a new research lane from scratch

Use maintain when:

  • the lane already exists in docs/research
  • the goal is contradiction cleanup, freshness, backlinks, or stronger compiled synthesis
  • you need upkeep, not a new ingest push

Full-Mode Requirement

When full is chosen for a surface that obviously touches multiple editors or source families, do not stop after finding one useful source.

Do the full corpus-level pass:

  1. scope the relevant corpora
  2. inspect existing compiled coverage
  3. inspect raw coverage across the relevant corpora
  4. run an official-source discovery step per corpus
  5. exhaust the strongest local raw hits per corpus
  6. create a per-corpus evidence ledger
  7. classify gaps per corpus
  8. fill what is safe
  9. update index.md and log.md
  10. return the remaining gaps honestly

For editor-behavior authority work, that often means some subset of:

  • Typora
  • Obsidian
  • Milkdown
  • Google Docs / GitHub Docs / Notion

depending on the actual surface

Per-Corpus Evidence Ledger

For full mode, explicitly close each scoped corpus with:

  • corpus name
  • compiled pages inspected
  • raw paths inspected
  • direct raw files actually read
  • official source entrypoints checked
  • strongest evidence found
  • disposition:
    • evidenced
    • raw gap
    • compile gap
    • synthesis gap
    • freshness gap
    • evidence gap
    • contradiction gap
    • structure gap
  • next action if still unresolved

Do not end a full pass with silent corpora.

If a likely corpus was scoped and produced no useful proof, say that directly. That is still a result.

Before recording raw gap, use official-source discovery to confirm that the missing coverage is real and not just a stale or incomplete local raw mirror.

Before recording evidence gap, read the strongest local raw hits that your searches surfaced for that corpus. Broad grep is routing, not proof.

If raw evidence is missing for a scoped corpus after that discovery step, record a raw gap explicitly instead of quietly letting another corpus carry the whole answer.

If compiled pages are missing but raw exists, record a compile gap and create the missing source summary when safe.

If evidence exists but still does not answer the behavior question, record an evidence gap or contradiction gap instead of flattening it into a partial yes.

If official discovery and local raw search already surfaced an obviously relevant file, you do not get to stop at "broad grep over corpus X". Read the file and cite it, or explain why it was not actually relevant.

Outputs

A successful pass should leave behind durable artifacts such as:

  • source summaries
  • entity pages
  • concept pages
  • system pages
  • decision pages
  • open-question pages
  • updated index/log entrypoints

Blunt Rules

  • Do not do “research” that only rephrases the first source you found.
  • Do not call something full if you only spot-checked one corpus when the topic obviously spans several.
  • Do not close full mode without an official-source discovery step for each scoped corpus.
  • Do not treat grep hits as the same thing as inspected evidence.
  • Do not record a corpus as thin, partial, or unresolved when the likely answer is already sitting in local raw unread.
  • Do not close full mode without a per-corpus evidence ledger.
  • Do not bypass the compiled layer and patch law straight from raw evidence unless the task is tiny and the evidence is already obvious.
  • Do not leave index.md or log.md stale after adding research pages.

版本历史

  • af5e430 当前 2026-08-20 19:27

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元信息

文件数
0
版本
cce36d3
Hash
587e5f3e
收录时间
2026-08-20 19:27

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