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wiki-ingest

Use when an operation issue asks to ingest a captured `raw/` source into the LLM Wiki, or the user says "ingest <slug>". Create durable source, entity, concept, synthesis, index, and log pages; use paperclip-distill for Paperclip bundles.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=paperclipai-paperclip-packages-plugins-plugin-llm-wiki-skills-wiki-ingest-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name wiki-ingest description Use when an operation issue asks to ingest a captured `raw/` source into the LLM Wiki, or the user says "ingest <slug>". Create durable source, entity, concept, synthesis, index, and log pages; use paperclip-distill for Paperclip bundles. Wiki Ingest Turn one source document into durable, interlinked wiki knowledge. Inputs An operation issue with operationType: "ingest" assigned to you. A raw/ path mentioned in the issue body (always treat raw/ as immutable). The operation issue's target wikiId , spaceSlug , and space root (otherwise stop and surface the missing config to the requester). Workflow Read context first. Read the target space's AGENTS.md for page conventions (filenames, frontmatter, voice, citation style). Read the target space's wiki/index.md to see what already exists. Read the target space's last ~20 entries of wiki/log.md to avoid re-ingesting a source or re-resolving a contradiction someone else already filed. Read the source end to end with wiki_read_source , passing the operation issue's wikiId and spaceSlug . Do not skim. Note the source's structure, claims, dates, and anything that contradicts existing pages. Plan, then confirm — but only if the user is in the loop. If the operation came from a routine (no live user), proceed. If a user is asking interactively, summarise the 3–5 takeaways you intend to file and ask which to emphasise before writing. Write the source page at wiki/sources/<slug>.md — ~300–800 words, frontmatter per the wiki schema, neutral voice, key claims with quoted excerpts where they carry weight. The source page is the canonical citation target for everything else this skill writes. Update or create downstream pages in entities/ , concepts/ , and synthesis/ . A typical ingest touches 5–15 pages; resist creating pages for ideas that only appear once. Wire the cross-links. Every claim that comes from the source cites it as (see [[wiki/sources/<slug>]]) . Every entity / concept mentioned by name on more than one page links to its dedicated page. Flag contradictions; do not silently overwrite. When new material disagrees with an existing page, append a > ⚠ contradicted by [[wiki/sources/<slug>]] (YYYY-MM-DD) callout to the older page and note the conflict in the log. Refresh wiki/index.md with one-line summaries for any new pages. Append a log entry in wiki/log.md : ## [YYYY-MM-DD] ingest | <source title> - source: raw/<filename> - new pages: [[...]], [[...]] - updated pages: [[...]], [[...]] - notes: <one-line synthesis or open question> Voice Terse, factual, neutral. Reference material, not narrative. No "Today I learned" or "This is interesting because" framing. Quote the source verbatim when paraphrasing would lose precision. Verification Before closing the operation issue: Source page exists at wiki/sources/<slug>.md with valid frontmatter and a sources: field pointing to the raw path. Every new or updated page links back to the source page or a downstream page that does. wiki/index.md lists every new page under the right category with a one-line summary. wiki/log.md has the ingest entry with the exact filename heading format (so grep "^## \[" wiki/log.md keeps working). Any contradiction between the new source and an older page is annotated, not silently overwritten. No file under raw/ was modified. Tools wiki_list_sources , wiki_read_source , wiki_search , wiki_read_page , wiki_write_page . Always include the operation issue's wikiId and spaceSlug .
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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