Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
将访谈稿、聊天记录、简历、公开内容、业务资料、案例和既有 DOCX/Markdown 文档，提炼成可被 AI 长期调用的个人 IP 知识库。适用于用户要求“生成个人知识库”“整理成个人 IP 成品知识库”“为创始人/专家/讲师/主播/顾问建立AI知识库”“把资料变成个人IP底层提示词/写作风格库/故事素材库/话术库”的场景。
Install Personal Ip Knowledge Builder
$ npx skills add limecloud/lime --skill personal-ip-knowledge-builder -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install limecloud/lime personal-ip-knowledge-builder --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/limecloud/lime.git skills-src && mkdir -p .claude/skills && cp -r skills-src/lime-rs/resources/default-skills/personal-ip-knowledge-builder .claude/skills/personal-ip-knowledge-builder && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "personal-ip-knowledge-builder" agent skill from https://github.com/limecloud/lime/tree/main/lime-rs/resources/default-skills/personal-ip-knowledge-builder into .claude/skills/personal-ip-knowledge-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "personal-ip-knowledge-builder", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/limecloud/lime/tree/main/lime-rs/resources/default-skills/personal-ip-knowledge-builderType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add limecloud/lime --skill personal-ip-knowledge-builder -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install limecloud/lime personal-ip-knowledge-builder --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/limecloud/lime.git skills-src && mkdir -p .agents/skills && cp -r skills-src/lime-rs/resources/default-skills/personal-ip-knowledge-builder .agents/skills/personal-ip-knowledge-builder && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "personal-ip-knowledge-builder" agent skill from https://github.com/limecloud/lime/tree/main/lime-rs/resources/default-skills/personal-ip-knowledge-builder into .agents/skills/personal-ip-knowledge-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "personal-ip-knowledge-builder", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add limecloud/lime --skill personal-ip-knowledge-builder -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install limecloud/lime personal-ip-knowledge-builder --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/limecloud/lime.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/lime-rs/resources/default-skills/personal-ip-knowledge-builder .cursor/skills/personal-ip-knowledge-builder && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "personal-ip-knowledge-builder" agent skill from https://github.com/limecloud/lime/tree/main/lime-rs/resources/default-skills/personal-ip-knowledge-builder into .cursor/skills/personal-ip-knowledge-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "personal-ip-knowledge-builder", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/limecloud/lime.git --path lime-rs/resources/default-skills/personal-ip-knowledge-builder--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add limecloud/lime --skill personal-ip-knowledge-builder -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install limecloud/lime personal-ip-knowledge-builder --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/limecloud/lime.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/lime-rs/resources/default-skills/personal-ip-knowledge-builder .gemini/skills/personal-ip-knowledge-builder && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "personal-ip-knowledge-builder" agent skill from https://github.com/limecloud/lime/tree/main/lime-rs/resources/default-skills/personal-ip-knowledge-builder into .gemini/skills/personal-ip-knowledge-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "personal-ip-knowledge-builder", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install limecloud/lime personal-ip-knowledge-builderInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add limecloud/lime --skill personal-ip-knowledge-builder -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/limecloud/lime.git skills-src && mkdir -p .github/skills && cp -r skills-src/lime-rs/resources/default-skills/personal-ip-knowledge-builder .github/skills/personal-ip-knowledge-builder && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "personal-ip-knowledge-builder" agent skill from https://github.com/limecloud/lime/tree/main/lime-rs/resources/default-skills/personal-ip-knowledge-builder into .github/skills/personal-ip-knowledge-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "personal-ip-knowledge-builder", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add limecloud/lime --skill personal-ip-knowledge-builder -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install limecloud/lime personal-ip-knowledge-builder --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/limecloud/lime.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/lime-rs/resources/default-skills/personal-ip-knowledge-builder .opencode/skills/personal-ip-knowledge-builder && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "personal-ip-knowledge-builder" agent skill from https://github.com/limecloud/lime/tree/main/lime-rs/resources/default-skills/personal-ip-knowledge-builder into .opencode/skills/personal-ip-knowledge-builder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "personal-ip-knowledge-builder", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
personal-ip-knowledge-builder- GitHub stars
- 1.5k
- Token cost
- ~892 tokens
- SKILL.md length
- 159 words
- Files
- 7 (incl. scripts, references, assets)
- Skills in repo
- 18
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
将访谈稿、聊天记录、简历、公开内容、业务资料、案例和既有 DOCX/Markdown 文档，提炼成可被 AI 长期调用的个人 IP 知识库。适用于用户要求“生成个人知识库”“整理成个人 IP 成品知识库”“为创始人/专家/讲师/主播/顾问建立AI知识库”“把资料变成个人IP底层提示词/写作风格库/故事素材库/话术库”的场景。
- Works in 8 steps: 先盘点输入资料：访谈、简历、聊天记录、文章、案例、产品服务、历史文案、DOCX/M… → 如果输入是 DOCX，优先使用… → 读取… → …
- Tasks that involve Word documents
- SKILL.md covers 核心目标, 与 Agent Knowledge 的分工, 工作流 and Lime Runtime Binding 契约, plus 4 more sections
- Runs Python scripts from its folder; calls python3
What it does
Personal Ip Knowledge Builder is an agent skill from limecloud/lime. 将访谈稿、聊天记录、简历、公开内容、业务资料、案例和既有 DOCX/Markdown 文档，提炼成可被 AI 长期调用的个人 IP 知识库。适用于用户要求“生成个人知识库”“整理成个人 IP 成品知识库”“为创始人/专家/讲师/主播/顾问建立AI知识库”“把资料变成个人IP底层提示词/写作风格库/故事素材库/话术库”的场景。
Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `assets/personal-ip-knowledge-skeleton.md` and `references/interview-questions.md`). Compatibility notes: Agent Knowledge =0.6.0
It sits in Documents & Office, covering Word documents and Markdown. It works with Microsoft Word. The repository describes itself as: Full-stack AI agent for coding, files, terminals, tools, research, content, multimodal work, and multi-agent workflows. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Word documents
- Tasks that involve Markdown
Example prompts
- “生成个人知识库”
- “整理成个人 IP 成品知识库”
- “为创始人/专家/讲师/主播/顾问建立AI知识库”
- “/personal-ip-knowledge-builder”
Requirements
- Python 3
- Compatibility (from SKILL.md): Agent Knowledge >=0.6.0
- Pre-approved tools (allowed-tools): list_directory, read_file
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- 先盘点输入资料：访谈、简历、聊天记录、文章、案例、产品服务、历史文案、DOCX/Markdown。
- 如果输入是 DOCX，优先使用 scripts/docx_to_markdown.py 转成 Markdown 草稿。
- 读取 references/personal-ip-template.md，按固定章节生成知识库。
- 读取 references/interview-questions.md，识别缺失的高价值信息。
- 缺少关键事实时，先问用户补齐；如果用户要求先生成，则用 待补充 标注，不要编造。
- 提炼事实、故事、案例、方法论、价值观、表达风格、金句、可引用素材和禁忌边界。
- 生成完整 Markdown，结尾必须包含“智能体应用指南”。
- 用 references/quality-checklist.md 自检，必要时补一节“待补充信息清单”。
What it can do on your machine
Read from SKILL.md and the folder at commit 1236c5e. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
list_directoryread_file
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Agent Knowledge >=0.6.0
From compatibility in the SKILL.md frontmatter.
Context cost
Personal Ip Knowledge Builder loads about 892 tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 159 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from limecloud/lime at commit 1236c5e, republished under its Apache-2.0 licence (© limecloud). 159 words, ~892 tokens.
Download SKILL.mdSave it as
.claude/skills/personal-ip-knowledge-builder/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- personal-ip-knowledge-builder
- description
- 将访谈稿、聊天记录、简历、公开内容、业务资料、案例和既有 DOCX/Markdown 文档，提炼成可被 AI 长期调用的个人 IP 知识库。适用于用户要求“生成个人知识库”“整理成个人 IP 成品知识库”“为创始人/专家/讲师/主播/顾问建立AI知识库”“把资料变成个人IP底层提示词/写作风格库/故事素材库/话术库”的场景。
- allowed-tools
- list_directory, read_file
- compatibility
- Agent Knowledge >=0.6.0
- license
- Apache-2.0
- metadata.lime_version
- 1.0.1
- metadata.lime_execution_mode
- prompt
- metadata.lime_surface
- workbench
- metadata.lime_category
- knowledge
- metadata.Lime_skill_bundle_version
- 1.0.1
- metadata.Lime_knowledge_builder
- true
- metadata.Lime_knowledge_pack_type
- personal-profile
- metadata.Lime_knowledge_template
- personal-ip
- metadata.Lime_knowledge_family
- persona
个人 IP 知识库生成器
核心目标
把零散资料编译成一份结构化 Markdown 知识库，让后续 AI 能稳定调用这个人的事实、故事、观点、风格和边界，而不是每次临时总结。
默认输出中文；除非用户明确要求其他语言。
与 Agent Knowledge 的分工
本 Skill 只负责“怎么生产和维护知识”：
- 读取来源资料、模板、访谈问题和质量检查表。
- 生成或更新个人 IP 成品文档。
- 标记缺失事实、冲突事实和待用户确认的信息。
- 返回整理记录、质量诊断和 provenance 建议。
Agent Knowledge 负责“知识产物长什么样、如何安全进入上下文”：
KNOWLEDGE.md保存 pack metadata、profile: document-first、runtime.mode: persona。documents/<pack-name>.md保存本 Skill 生成的主文档。runs/compile-*.json记录本次 Builder Skill 输入、输出、版本和诊断。- 运行时 Resolver 只消费 KnowledgePack，不在回答用户问题时执行本 Skill。
工作流
- 先盘点输入资料：访谈、简历、聊天记录、文章、案例、产品服务、历史文案、DOCX/Markdown。
- 如果输入是 DOCX，优先使用
scripts/docx_to_markdown.py转成 Markdown 草稿。 - 读取
references/personal-ip-template.md，按固定章节生成知识库。 - 读取
references/interview-questions.md，识别缺失的高价值信息。 - 缺少关键事实时，先问用户补齐；如果用户要求先生成，则用
待补充标注，不要编造。 - 提炼事实、故事、案例、方法论、价值观、表达风格、金句、可引用素材和禁忌边界。
- 生成完整 Markdown，结尾必须包含“智能体应用指南”。
- 用
references/quality-checklist.md自检，必要时补一节“待补充信息清单”。
Lime Runtime Binding 契约
当 Lime 通过 App Server knowledgePack/compile runtime binding 调用本 Skill 时，输入输出必须保持下面的最小契约。
输入
packName: <当前知识包名>
packType: personal-profile
profile: document-first
runtime.mode: persona
sources[]: sources/ 下的来源文件摘要和相对路径
metadata.primaryDocument: documents/<packName>.md输出
primaryDocument:
path: documents/<packName>.md
content: <按 references/personal-ip-template.md 生成的完整 Markdown>
status: draft | needs-review | ready | disputed
missingFacts[]: <待补充信息>
warnings[]: <质量或冲突提醒>
provenance:
kind: agent-skill
name: personal-ip-knowledge-builder
version: 1.0.0固定规则：
- 不输出独立于 KnowledgePack 的新目录结构；
documents/<packName>.md是主文档唯一写回目标。 - 不直接改写
KNOWLEDGE.md；由 Lime 写入metadata.producedBy、runtime.mode和状态。 - 不把模板复制进 Lime 代码；模板、访谈问题和质量检查表继续留在本 Skill 的
references/。 - 不在运行时回答阶段执行；仅在用户导入、重新整理或维护 pack 时调用。
输出规则
- 不写成简历，也不写成宣传软文；要写成 AI 可调用的底层知识库。
- 区分事实、观点、推断和待补充信息。
- 保留真实语气，不要把人物包装成虚假的“成功学大师”。
- 尽量使用具体案例、数据、原话、场景和转折点。
- 每个章节都要有清晰标题，适合长期维护。
- 结尾必须包含：使用说明、AI 写作风格指南、核心价值观关键词、可引用故事素材、禁忌与边界。
推荐产物结构
在 Agent Knowledge v0.6.0 / Lime 中，优先写回：
<pack-name>/
KNOWLEDGE.md # 由 Lime 维护 metadata
documents/<pack-name>.md # 本 Skill 生成的主文档
runs/compile-*.json # 由 Lime 记录本次整理 provenance如果用户在普通对话中只要求一份独立文档，也可以输出单一 Markdown 作为临时交付；进入 Lime KnowledgePack 时必须回到上述 document-first 结构。
不再默认拆成：
[person-id]-personal-ip/
knowledge.md
facts.md
voice.md
stories.md
boundaries.md何时读取资源
- 需要章节骨架时，读取
references/personal-ip-template.md。 - 资料不足或要做访谈表时，读取
references/interview-questions.md。 - 输出前做质量检查时，读取
references/quality-checklist.md。 - 用户只要空白模板时，可复制
assets/personal-ip-knowledge-skeleton.md。
DOCX 转 Markdown
如果需要先转换 DOCX：
python3 scripts/docx_to_markdown.py 输入.docx 输出.md转换后再进行知识提炼。脚本只负责格式转换，不负责事实提炼。
© limecloud, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (scripts, references, assets) in lime-rs/resources/default-skills/personal-ip-knowledge-builder of limecloud/lime.
- SKILL.md
- agents/openai.yaml
- assets/personal-ip-knowledge-skeleton.md
- references/interview-questions.md
- references/personal-ip-template.md
- references/quality-checklist.md
- scripts/docx_to_markdown.py
Open the folder on GitHubat commit 1236c5e
Compare with similar skills
Personal Ip Knowledge Builder next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Personal Ip Knowledge Builder this skilllimecloud/lime | 1.5k | — | ~892 | Automated safety check: Pass | Apache-2.0 | |
| MarkitdownImCa0/just-laws | 781 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Gzh Designisjiamu/gzh-design-skill | 3.9k | 1 repos | ~2.2k | Automated safety check: Pass | AGPL-3.0 | |
| Pandoc DOCX TemplateAchuan-2/pandoc_docx_template | 1.1k | — | ~1k | Automated safety check: Pass | None | |
| Markitshift-labs-ai/markit | 1.3k | — | ~299 | Automated safety check: Pass | MIT | |
| Suikonwiizo/suiko | 114 | — | ~1.8k | Automated safety check: Pass | MIT |
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Brand Product Knowledge Builder
limecloud/lime
将品牌产品资料、规格参数、卖点证据、FAQ、价格权益、竞品区别和合规边界，整理成符合 Agent Knowledge v0.6 document-first 标准、可被 AI 安全调用的产品资料知识库。适用于用户要求“整理产品知识库”“沉淀产品 FAQ”“把品牌产品资料变成项目资料”“维护产品资料包”的场景。
Campaign Operations Knowledge Builder
limecloud/lime
将活动目标、用户路径、渠道分工、物料资产、时间节奏、风险预案和复盘结论等资料，整理成符合 Agent Knowledge v0.6 document-first 标准、可被 AI 安全调用的运营类知识库。适用于用户要求“整理活动 / Campaign 运营知识库”“沉淀运营 SOP”“把运营资料变成项目资料”“维护运营知识库”的场景。
Content Operations Knowledge Builder
limecloud/lime
将选题日历、栏目矩阵、素材资产、发布节奏、复盘结论和内容边界等资料，整理成符合 Agent Knowledge v0.6 document-first 标准、可被 AI 安全调用的运营类知识库。适用于用户要求“整理内容运营知识库”“沉淀运营 SOP”“把运营资料变成项目资料”“维护运营知识库”的场景。
Growth Strategy Knowledge Builder
limecloud/lime
将增长目标、指标体系、渠道策略、实验计划、复盘结论、资源约束和停止条件，整理成符合 Agent Knowledge v0.6 document-first 标准、可被 AI 安全调用的增长策略知识库。适用于用户要求“整理增长知识库”“沉淀增长策略”“把增长计划变成项目资料”“维护增长实验资料包”的场景。
Live Commerce Operations Knowledge Builder
limecloud/lime
将直播排期、货盘节奏、场控流程、主播话术、互动机制、异常预案和复盘指标等资料，整理成符合 Agent Knowledge v0.6 document-first 标准、可被 AI 安全调用的运营类知识库。适用于用户要求“整理直播运营知识库”“沉淀运营 SOP”“把运营资料变成项目资料”“维护运营知识库”的场景。
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Questions about Personal Ip Knowledge Builder
What does Personal Ip Knowledge Builder do?
将访谈稿、聊天记录、简历、公开内容、业务资料、案例和既有 DOCX/Markdown 文档，提炼成可被 AI 长期调用的个人 IP 知识库。适用于用户要求“生成个人知识库”“整理成个人 IP 成品知识库”“为创始人/专家/讲师/主播/顾问建立AI知识库”“把资料变成个人IP底层提示词/写作风格库/故事素材库/话术库”的场景。. Personal Ip Knowledge Builder is an agent skill from limecloud/lime.
When should I use Personal Ip Knowledge Builder?
Personal Ip Knowledge Builder fits situations like: tasks that involve Word documents; tasks that involve Markdown.
How do I install Personal Ip Knowledge Builder in Claude Code?
Run `npx skills add limecloud/lime --skill personal-ip-knowledge-builder -a claude-code`. Or copy the skill folder (lime-rs/resources/default-skills/personal-ip-knowledge-builder in limecloud/lime) into .claude/skills/personal-ip-knowledge-builder in your project. Claude Code loads it when a task matches its description.
How do I install Personal Ip Knowledge Builder in Codex?
Run `npx skills add limecloud/lime --skill personal-ip-knowledge-builder -a codex`. Or copy the skill folder (lime-rs/resources/default-skills/personal-ip-knowledge-builder in limecloud/lime) into .agents/skills/personal-ip-knowledge-builder in your project. Codex loads it when a task matches its description.
Can I use Personal Ip Knowledge Builder in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add limecloud/lime --skill personal-ip-knowledge-builder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/personal-ip-knowledge-builder, .gemini/skills/personal-ip-knowledge-builder, .github/skills/personal-ip-knowledge-builder and .opencode/skills/personal-ip-knowledge-builder in your project.
What does Personal Ip Knowledge Builder need to run?
Going by SKILL.md and its folder, Personal Ip Knowledge Builder needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: list_directory, read_file. Compatibility (from SKILL.md): Agent Knowledge >=0.6.0.
Does Personal Ip Knowledge Builder access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Personal Ip Knowledge Builder safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Personal Ip Knowledge Builder use?
Personal Ip Knowledge Builder is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Personal Ip Knowledge Builder use?
About 892 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.
What are the alternatives to Personal Ip Knowledge Builder?
Skills that share tags, products or a category with Personal Ip Knowledge Builder: Markitdown (ImCa0/just-laws, 781 stars), Gzh Design (isjiamu/gzh-design-skill, 3.9k stars), Pandoc DOCX Template (Achuan-2/pandoc_docx_template, 1.1k stars) and Markit (shift-labs-ai/markit, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Personal Ip Knowledge Builder?
limecloud (a GitHub organization) maintains it in limecloud/lime, which has 1,485 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 5, 2026.
Source: limecloud/lime on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.