Feishu Doc
raucvr/Group-Goki
Feishu document read/write operations. An agent skill from raucvr/Group-Goki.
将销售会议 transcript、飞书会议原始 JSON、飞书云文档正文或 Word/DOCX 会议纪要,转换成 CRM 结构化结果,并按客户信息表 + 商机推进快照表两表模型生成/同步飞书多维表格记录时使用。适用于多轮客户推进、客户画像增量更新、商机阶段判断、Lead Score 计算,以及“弱值不覆盖旧值、沟通风格/风险顾虑合并”的客户字段更新规则。
$ npx skills add DjangoPeng/agentic-ai --skill crm-assistant -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DjangoPeng/agentic-ai crm-assistant --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/DjangoPeng/agentic-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/CRM-Assistant/skills/crm-assistant .claude/skills/crm-assistant && 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 "crm-assistant" agent skill from https://github.com/DjangoPeng/agentic-ai/tree/main/CRM-Assistant/skills/crm-assistant into .claude/skills/crm-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crm-assistant", 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/DjangoPeng/agentic-ai/tree/main/CRM-Assistant/skills/crm-assistantType 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 DjangoPeng/agentic-ai --skill crm-assistant -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DjangoPeng/agentic-ai crm-assistant --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DjangoPeng/agentic-ai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/CRM-Assistant/skills/crm-assistant .agents/skills/crm-assistant && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "crm-assistant" agent skill from https://github.com/DjangoPeng/agentic-ai/tree/main/CRM-Assistant/skills/crm-assistant into .agents/skills/crm-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crm-assistant", 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 DjangoPeng/agentic-ai --skill crm-assistant -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DjangoPeng/agentic-ai crm-assistant --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DjangoPeng/agentic-ai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/CRM-Assistant/skills/crm-assistant .cursor/skills/crm-assistant && 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 "crm-assistant" agent skill from https://github.com/DjangoPeng/agentic-ai/tree/main/CRM-Assistant/skills/crm-assistant into .cursor/skills/crm-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crm-assistant", 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/DjangoPeng/agentic-ai.git --path CRM-Assistant/skills/crm-assistant--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 DjangoPeng/agentic-ai --skill crm-assistant -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DjangoPeng/agentic-ai crm-assistant --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DjangoPeng/agentic-ai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/CRM-Assistant/skills/crm-assistant .gemini/skills/crm-assistant && 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 "crm-assistant" agent skill from https://github.com/DjangoPeng/agentic-ai/tree/main/CRM-Assistant/skills/crm-assistant into .gemini/skills/crm-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crm-assistant", 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 DjangoPeng/agentic-ai crm-assistantInstalls 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 DjangoPeng/agentic-ai --skill crm-assistant -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DjangoPeng/agentic-ai.git skills-src && mkdir -p .github/skills && cp -r skills-src/CRM-Assistant/skills/crm-assistant .github/skills/crm-assistant && 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 "crm-assistant" agent skill from https://github.com/DjangoPeng/agentic-ai/tree/main/CRM-Assistant/skills/crm-assistant into .github/skills/crm-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crm-assistant", 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 DjangoPeng/agentic-ai --skill crm-assistant -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DjangoPeng/agentic-ai crm-assistant --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DjangoPeng/agentic-ai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/CRM-Assistant/skills/crm-assistant .opencode/skills/crm-assistant && 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 "crm-assistant" agent skill from https://github.com/DjangoPeng/agentic-ai/tree/main/CRM-Assistant/skills/crm-assistant into .opencode/skills/crm-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crm-assistant", 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.
crm-assistant将销售会议 transcript、飞书会议原始 JSON、飞书云文档正文或 Word/DOCX 会议纪要,转换成 CRM 结构化结果,并按客户信息表 + 商机推进快照表两表模型生成/同步飞书多维表格记录时使用。适用于多轮客户推进、客户画像增量更新、商机阶段判断、Lead Score 计算,以及“弱值不覆盖旧值、沟通风格/风险顾虑合并”的客户字段更新规则。
CRM Assistant is an agent skill from DjangoPeng/agentic-ai. 将销售会议 transcript、飞书会议原始 JSON、飞书云文档正文或 Word/DOCX 会议纪要,转换成 CRM 结构化结果,并按客户信息表 + 商机推进快照表两表模型生成/同步飞书多维表格记录时使用。适用于多轮客户推进、客户画像增量更新、商机阶段判断、Lead Score 计算,以及“弱值不覆盖旧值、沟通风格/风险顾虑合并”的客户字段更新规则。
Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Sales & Support, covering Word documents. It works with Microsoft Word and Feishu (Lark). The repository describes itself as: 一套经过生产验证的 OpenClaw + Claude Code 实战知识库:涵盖生产部署、IM 接入、模型配置、安全加固,以及一系列可落地的 AI Agent 业务流项目(小红书发布 / 财务票据 / 智能早报 / CRM / 量化投研 / 密钥巡检自愈)。 The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c8bc8f1. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
CRM Assistant loads about 681 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 121 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.
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); files beside SKILL.md are not scanned.
The full file from DjangoPeng/agentic-ai at commit c8bc8f1, republished under its MIT licence (© DjangoPeng). 121 words, ~681 tokens.
.claude/skills/crm-assistant/SKILL.md (or your agent's skills folder).在销售会议已经有可读文本后使用本 Skill。当前项目已经收敛为一个 Python CLI:scripts/crm_assistant.py。
把以下任一输入:
transcript.txt + context.json转换成:
meeting_record.jsoncustomer_profile_update.jsonopportunity_update.jsonfollow_up_task.jsonpre_meeting_brief.jsoncustomer_table_rows.jsonopportunity_snapshot_row.jsoncrm_packet.json对 客户信息的所有字段统一执行:
未明确 / 未知 / 待确认 / 空值),不要覆盖旧的明确值沟通风格、风险顾虑 采用合并策略:保留旧值并追加新值,去重后写回机会名称 应优先采用 客户公司 - 项目主题,不要把联系人姓名列表拼到最前面python ./scripts/crm_assistant.py ingest-docx-to-bitable \
--docx-path ./meeting.docx \
--output-dir ./runtime/your_casepython ./scripts/crm_assistant.py ingest-feishu-raw-to-bitable \
--raw-input-path ./raw.json \
--output-dir ./runtime/your_casepython ./scripts/crm_assistant.py ingest-feishu-doc-to-bitable \
--doc-markdown-path ./source_doc.md \
--output-dir ./runtime/your_casepython ./scripts/crm_assistant.py process-transcript \
--transcript-path ./transcript.txt \
--context-path ./context.json \
--output-dir ./runtime/your_case/process如果当前环境具备飞书 app 凭据,可在 ingest 命令上追加同步参数,例如:
--sync-feishu--app-token-or-url--customer-table-id--opportunity-table-id若当前环境没有凭据:
仅在需要时再读:
references/input_schemas.mdreferences/output_schemas.mdreferences/feishu-bitable-mapping.mdreferences/llm_prompt_template.mdreferences/llm_output_schema.mdreferences/openclaw_user_side_write_prompt.mdreferences/user_side_feishu_prompt.md在修改脚本或规则后,至少做一项:
python ./scripts/crm_assistant.py --help
python ./scripts/crm_assistant.py run-sample-tests
python ./scripts/crm_assistant.py run-feishu-pipeline-tests补充:
assets/samples/,因此 run-sample-tests 无样本时会直接跳过优先保证:
© DjangoPeng, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in CRM-Assistant/skills/crm-assistant of DjangoPeng/agentic-ai.
Open the folder on GitHubat commit c8bc8f1
CRM Assistant 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 |
|---|---|---|---|---|---|---|
| CRM Assistant this skillDjangoPeng/agentic-ai | 152 | — | ~681 | Automated safety check: Pass | MIT | |
| Feishu Docraucvr/Group-Goki | 112 | 3 repos | ~592 | Automated safety check: Pass | MIT | |
| Feishu DocCatCatUncle/openworkbuddy | 282 | — | ~750 | Automated safety check: Pass | Custom licence | |
| Rfp Response Content Generationpnp/sharepoint-skills | 133 | — | ~4.8k | Automated safety check: Pass | MIT | |
| Rfp Response Proposal Reviewpnp/sharepoint-skills | 133 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Feishu Docopenclaw/openclaw | 392k | — | ~516 | Automated safety check: Pass | MIT |
raucvr/Group-Goki
Feishu document read/write operations. An agent skill from raucvr/Group-Goki.
CatCatUncle/openworkbuddy
创建/写入飞书云文档的完整 API 姿势(含插图)。要"发到飞书/建飞书文档"优先用 feishudoccreate 工具;需要手写 API(插图片/表格/自定义凭证)或排查权限、块结构报错时加载本技能。
pnp/sharepoint-skills
Section-by-section proposal drafting agent. An agent skill from pnp/sharepoint-skills.
pnp/sharepoint-skills
Post-generation audit agent for proposal drafts. An agent skill from pnp/sharepoint-skills.
openclaw/openclaw
Feishu document read/write workflows. An agent skill from openclaw/openclaw.
poco-ai/poco-claw
Professional DOCX document creation, editing, and formatting using OpenXML SDK (.NET).
DjangoPeng/agentic-ai
当用户希望生成 AI 早报、运行晨报链路、查看今日资讯摘要,或消息中包含”早报””晨报””今日资讯””新闻摘要”等关键词时触发。
DjangoPeng/agentic-ai
面向云服务器的小红书图文自动发布 Skill。适用于需要在 Linux 云服务器上,通过 Playwright/CDP、二维码人工接管、登录缓存、龙虾代发飞书群图片消息、截图留痕与审计日志来完成小红书草稿或发布流程的场景。
DjangoPeng/agentic-ai
当用户上传 PDF、JPG、JPEG、PNG 附件,或消息中包含"报销""发票""票据""录入""火车票""机票"等关键词时触发。对附件内容进行识别,若确认为报销票据则提取结构化字段并写入飞书多维表格;若识别后内容不是报销票据,告知用户并终止流程。
DjangoPeng/agentic-ai
当用户希望让 OpenClaw 通过 ACP 调度 Claude Code,对 GitHub 仓库进行 API Key、Token、密码、私钥、Webhook URL 等敏感信息泄露巡检、自动修复、验收、推送修复 commit,并通过飞书发送巡检报告时使用。
Works with
Categories
将销售会议 transcript、飞书会议原始 JSON、飞书云文档正文或 Word/DOCX 会议纪要,转换成 CRM 结构化结果,并按客户信息表 + 商机推进快照表两表模型生成/同步飞书多维表格记录时使用。适用于多轮客户推进、客户画像增量更新、商机阶段判断、Lead Score 计算,以及“弱值不覆盖旧值、沟通风格/风险顾虑合并”的客户字段更新规则。. CRM Assistant is an agent skill from DjangoPeng/agentic-ai.
CRM Assistant fits situations like: tasks that involve Word documents.
Run `npx skills add DjangoPeng/agentic-ai --skill crm-assistant -a claude-code`. Or copy the skill folder (CRM-Assistant/skills/crm-assistant in DjangoPeng/agentic-ai) into .claude/skills/crm-assistant in your project. Claude Code loads it when a task matches its description.
Run `npx skills add DjangoPeng/agentic-ai --skill crm-assistant -a codex`. Or copy the skill folder (CRM-Assistant/skills/crm-assistant in DjangoPeng/agentic-ai) into .agents/skills/crm-assistant in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DjangoPeng/agentic-ai --skill crm-assistant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/crm-assistant, .gemini/skills/crm-assistant, .github/skills/crm-assistant and .opencode/skills/crm-assistant in your project.
Going by SKILL.md and its folder, CRM Assistant needs the command-line tools its instructions call (python). Our summary lists: Python 3.
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.
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. Review the folder before installing.
CRM Assistant is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 681 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with CRM Assistant: Feishu Doc (raucvr/Group-Goki, 112 stars), Feishu Doc (CatCatUncle/openworkbuddy, 282 stars), Rfp Response Content Generation (pnp/sharepoint-skills, 133 stars) and Rfp Response Proposal Review (pnp/sharepoint-skills, 133 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
DjangoPeng (a GitHub user) maintains it in DjangoPeng/agentic-ai, which has 152 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on July 8, 2026.
Source: DjangoPeng/agentic-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.