Lark Okr
appleweiping/WEIPING_WIKI
飞书 OKR:管理目标与关键结果。查看和编辑 OKR 周期、目标(Objective)、关键结果(Key Result)、对齐关系、量化指标和进展记录。当用户需要查看或创建 OKR、管理目标和关键结果、查看对齐关系时使用。
飞书 OKR:管理目标与关键结果。查看和编辑 OKR 周期、目标、关键结果、对齐关系、量化指标和进展记录。当用户需要查看或创建 OKR、管理目标和关键结果、查看对齐关系时使用。不负责:待办任务管理(lark-task)、日程/会议安排(lark-calendar)、绩效评估
$ npx skills add rongxinzy/RongxinAI --skill lark-okr -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rongxinzy/RongxinAI lark-okr --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/rongxinzy/RongxinAI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/MCPs/feishu/skills/lark-okr .claude/skills/lark-okr && 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 "lark-okr" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-okr into .claude/skills/lark-okr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-okr", 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/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-okrType 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 rongxinzy/RongxinAI --skill lark-okr -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rongxinzy/RongxinAI lark-okr --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/MCPs/feishu/skills/lark-okr .agents/skills/lark-okr && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lark-okr" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-okr into .agents/skills/lark-okr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-okr", 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 rongxinzy/RongxinAI --skill lark-okr -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rongxinzy/RongxinAI lark-okr --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/MCPs/feishu/skills/lark-okr .cursor/skills/lark-okr && 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 "lark-okr" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-okr into .cursor/skills/lark-okr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-okr", 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/rongxinzy/RongxinAI.git --path MCPs/feishu/skills/lark-okr--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 rongxinzy/RongxinAI --skill lark-okr -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rongxinzy/RongxinAI lark-okr --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/MCPs/feishu/skills/lark-okr .gemini/skills/lark-okr && 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 "lark-okr" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-okr into .gemini/skills/lark-okr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-okr", 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 rongxinzy/RongxinAI lark-okrInstalls 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 rongxinzy/RongxinAI --skill lark-okr -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .github/skills && cp -r skills-src/MCPs/feishu/skills/lark-okr .github/skills/lark-okr && 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 "lark-okr" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-okr into .github/skills/lark-okr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-okr", 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 rongxinzy/RongxinAI --skill lark-okr -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rongxinzy/RongxinAI lark-okr --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/MCPs/feishu/skills/lark-okr .opencode/skills/lark-okr && 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 "lark-okr" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-okr into .opencode/skills/lark-okr/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-okr", 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.
lark-okr飞书 OKR:管理目标与关键结果。查看和编辑 OKR 周期、目标、关键结果、对齐关系、量化指标和进展记录。当用户需要查看或创建 OKR、管理目标和关键结果、查看对齐关系时使用。不负责:待办任务管理(lark-task)、日程/会议安排(lark-calendar)、绩效评估
Lark Okr is an agent skill from rongxinzy/RongxinAI. 飞书 OKR:管理目标与关键结果。查看和编辑 OKR 周期、目标、关键结果、对齐关系、量化指标和进展记录。当用户需要查看或创建 OKR、管理目标和关键结果、查看对齐关系时使用。不负责:待办任务管理(lark-task)、日程/会议安排(lark-calendar)、绩效评估
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 19 other files, including reference files (for example `references/lark-okr-alignments.md`, `references/lark-okr-batch-create.md` and `references/lark-okr-contentblock.md`).
It sits in Business, Finance & HR, covering OKRs and executive reporting and Messaging and chat bots. The repository describes itself as: An all-in-one local AI Agent workspace with a fully self-developed stack. The licence is AGPL-3.0.
Read from SKILL.md and the folder at commit 9c64865. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From 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.
Lark Okr loads about 2.4k tokens when it runs, and up to ~30k if it reads all its reference files. Until then it costs about 37 tokens; SKILL.md has 324 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 rongxinzy/RongxinAI at commit 9c64865, republished under its AGPL-3.0 licence (© rongxinzy). 324 words, ~2,393 tokens.
.claude/skills/lark-okr/SKILL.md (or your agent's skills folder). This skill also uses 18 other files; get the full folder from GitHub.CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md,其中包含认证、权限处理
身份:OKR 操作默认使用 --as user(查看当前用户/上下级的 OKR 时)。也支持 --as bot 查看他人 OKR(需相应权限)。
| 用户需求 | 操作路径 | 参考文档 |
|---|---|---|
| 查看自己/他人的 OKR | 获取用户 ID -> +cycle-list -> +cycle-detail -> 按需查指标/进展记录 | cycle-list, cycle-detail, indicators, progress-list |
| 为自己写一组 OKR | 优先用 +batch-create 创建 Objective/KR 骨架 | batch-create, contentblock |
| 只新增一条 O 或单条 KR | 用 +create | create |
| 编辑内容/备注/截止时间 | 用 +patch | patch |
| 修改 OKR 分数 | 只有用户明确说“分数”“评分”“打分”“score”时才用 +patch --score;分数不是进度/完成度 | patch |
| 调整顺序或权重 | 用 +reorder / +weight | reorder, weight |
| 更新数字进度/完成度 | 百分比或不带单位数字用 +indicator-update;需要改单位/目标值时查指标后用 indicators patch | indicator-update, indicators |
| 写文字进展 | 用 +progress-create;如果文本和数字都有,百分比或默认单位可使用 --progress-percent 统一改,非百分比单位更新量化指标 | progress-create, progress-list, progress-update |
| 对齐目标 | 直接按对齐关系工作流处理 | alignments |
分类只在用户明确要求分类,或创建 Objective 返回 invalid parameters 且怀疑租户强制开启分类时处理:用 lark-cli okr categories list --params '{"owner_type":"user","page_size":100}' --as user 查可用分类,选择语义合适且 enabled=true 的分类 ID;分类可后续调整,不必停下等待用户确认。
获取当前用户用 contact +get-user;按姓名/邮箱查他人用 contact +search-user,拿到 open_id 后再查 OKR。
lark-cli contact +search-user --query "张三" --has-chatted --as user最常用 OKR 命令示例:
# 查用户周期,再用周期 ID 查详情
lark-cli okr +cycle-list --user-id "ou_xxx" --as user
lark-cli okr +cycle-detail --cycle-id 7000000000000000001 --as user
# 批量创建 Objective/KR
lark-cli okr +batch-create \
--cycle-id 7000000000000000001 \
--input '[{"text":"提升产品用户体验","notes":"关注核心流程和用户反馈","krs":[{"text":"核心流程满意度达到 4.8 分"}]}]' \
--as user
# 更新数字进度/完成度
lark-cli okr +indicator-update \
--level key-result \
--id 7000000000000000003 \
--value 75 \
--as user分数和进度不要混用:用户说“进度”“完成度”“当前做到 75%”时,通常是在改量化指标或写进展记录,不是在改 score。只有明确要求修改 OKR 分数/评分/打分时,才使用 +patch --score;score 取值是 0-1,最多一位小数。
进度判断规则:用户说“进度”“完成度”时,先判断是否是量化数字。数字进度通常对应量化指标;不可量化文本对应进展记录。需要修改指标单位时看 lark-okr-indicators.md
Shortcut 是对常用操作的高级封装(lark-cli okr +<verb> [flags])。有 Shortcut 的操作优先使用。
| Shortcut | 说明 |
|---|---|
+cycle-list | 分页获取特定用户的 OKR 周期列表,可以用 --time-range 对当前页后置筛选 |
+cycle-detail | 获取特定 OKR 中所有目标和关键结果的内容 |
+create | 创建单个 Objective(可带备注),或向已有 Objective 新增 KR |
+progress-list | 分页获取目标或关键结果的进展记录列表 |
+progress-get | 根据 ID 获取单条 OKR 进展记录 |
+progress-create | 为目标或关键结果创建进展记录 |
+progress-update | 更新指定 ID 的进展记录内容 |
+progress-delete | 删除指定 ID 的进展记录(不可恢复) |
+upload-image | 上传图片用于 OKR 进展记录的富文本内容 |
+batch-create | 批量创建 Objective(可带备注)和 KR |
+reorder | 调整 Objective 或 KR 的顺位 |
+weight | 调整 Objective 或 KR 的权重 |
+indicator-update | 更新 Objective 或 KR 的当前进度指标。更复杂的量化指标操作见 量化指标管理 |
+patch | 部分更新 Objective 或 KR(content、notes、score、deadline) |
+create:适合创建一个 Objective,或给已有 Objective 增加一个 KR。+batch-create:适合一次创建多个 Objective,并可同时附带多个 KR。+patch。OKR 业务实体 获取 OKR 实体结构,定义和关系,帮助你更好的使用 OKR 功能ContentBlock 富文本格式 — Objective/KeyResult/Progress 中 Content/Note
字段使用的富文本格式说明,以及简化的半纯文本(SemiPlainContent)格式的进一步说明。OKR 业务实体以了解基础概念delete — 删除对齐关系get — 获取对齐关系操作指南: OKR 对齐关系管理 包含 list/create/delete 完整工作流
list — 批量获取分类list — 批量获取用户周期list — 批量获取用户周期下的目标patch — 更新量化指标操作指南: OKR 量化指标管理 包含目标/KR 指标查询和 patch 更新完整工作流
delete — 删除关键结果get — 获取关键结果patch — 更新关键结果list — 获取关键结果的量化指标操作指南: OKR 量化指标管理
delete — 删除目标get — 获取目标key_results_position — 更新全部关键结果的位置key_results_weight — 更新全部关键结果的权重objectives_weight, 请求中必须同时修改对应目标下全部关键结果的权重,且所有权重值的和必须等于 1 ,否则会参数校验失败。patch — 更新目标create — 创建对齐关系list — 批量获取目标下的对齐关系list — 获取目标的量化指标list — 批量获取目标下的关键结果lark-tasklark-calendarlark-openapi-explorer 查找原生接口© rongxinzy, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 18 other files (references) in MCPs/feishu/skills/lark-okr of rongxinzy/RongxinAI.
Open the folder on GitHubat commit 9c64865
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in rongxinzy/RongxinAI, which our catalogue first saw on October 7, 2026.
Lark Okr 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 |
|---|---|---|---|---|---|---|
| Lark Okr this skillrongxinzy/RongxinAI | 154 | 3 repos | ~2.4k | Automated safety check: Pass | AGPL-3.0 | |
| Lark Okrappleweiping/WEIPING_WIKI | 119 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Pine BacktesterTradersPost/pinescript-agents | 170 | 1 repos | ~3.9k | Automated safety check: Pass | None | |
| Analytics Strategyrampstackco/claude-skills | 945 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Onboarding Plannerbpinheiroms/dotfiles | 108 | — | ~5.4k | Automated safety check: Pass | None | |
| Replit Decksanqiufong/slides-from-anything | 132 | 1 repos | ~2.9k | Automated safety check: Pass | Apache-2.0 |
appleweiping/WEIPING_WIKI
飞书 OKR:管理目标与关键结果。查看和编辑 OKR 周期、目标(Objective)、关键结果(Key Result)、对齐关系、量化指标和进展记录。当用户需要查看或创建 OKR、管理目标和关键结果、查看对齐关系时使用。
TradersPost/pinescript-agents
Implements comprehensive backtesting and performance metrics.
rampstackco/claude-skills
Design measurement frameworks including event taxonomy, KPI hierarchy, dashboard architecture, attribution models, and analytics implementation strategy.
bpinheiroms/dotfiles
Plan high-conversion mobile app onboarding flows from scratch.
sanqiufong/slides-from-anything
Single-file horizontal-swipe HTML deck in the style of Replit Slides's landing-page template gallery.
iusztinpaul/designing-real-world-ai-agents-workshop
Building dashboards in Streamlit. An agent skill from iusztinpaul/designing-real-world-ai-agents-workshop.
rongxinzy/RongxinAI
SaaS financial health advisor. An agent skill from rongxinzy/RongxinAI.
rongxinzy/RongxinAI
Reduce voluntary and involuntary churn through cancel flow design, save offers, exit surveys, and dunning sequences.
rongxinzy/RongxinAI
The only skill for creating a new PowerPoint deck. An agent skill from rongxinzy/RongxinAI.
rongxinzy/RongxinAI
ZhiYuan Agent expert package lifecycle manager for the pi engine.
rongxinzy/RongxinAI
Professional Ziwei Doushu consultation skill with an offline calculation engine.
rongxinzy/RongxinAI
飞书邮箱:Use when user mentions 起草邮件、写邮件、草稿、发送/回复/转发邮件、查阅邮件、看邮件、搜索邮件、邮件文件夹、邮件标签、邮件联系人、监听新邮件、邮件收信规则等;use for mail/email intent only.
Categories
飞书 OKR:管理目标与关键结果。查看和编辑 OKR 周期、目标、关键结果、对齐关系、量化指标和进展记录。当用户需要查看或创建 OKR、管理目标和关键结果、查看对齐关系时使用。不负责:待办任务管理(lark-task)、日程/会议安排(lark-calendar)、绩效评估. Lark Okr is an agent skill from rongxinzy/RongxinAI.
Lark Okr fits situations like: tasks that involve OKRs and executive reporting; tasks that involve Messaging and chat bots.
Run `npx skills add rongxinzy/RongxinAI --skill lark-okr -a claude-code`. Or copy the skill folder (MCPs/feishu/skills/lark-okr in rongxinzy/RongxinAI) into .claude/skills/lark-okr in your project. Claude Code loads it when a task matches its description.
Run `npx skills add rongxinzy/RongxinAI --skill lark-okr -a codex`. Or copy the skill folder (MCPs/feishu/skills/lark-okr in rongxinzy/RongxinAI) into .agents/skills/lark-okr 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 rongxinzy/RongxinAI --skill lark-okr -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lark-okr, .gemini/skills/lark-okr, .github/skills/lark-okr and .opencode/skills/lark-okr in your project.
SKILL.md names no scripts, command-line tools or credentials: Lark Okr is instructions for the agent only.
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.
Lark Okr is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.6k 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 28k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Lark Okr: Lark Okr (appleweiping/WEIPING_WIKI, 119 stars), Pine Backtester (TradersPost/pinescript-agents, 170 stars), Analytics Strategy (rampstackco/claude-skills, 945 stars) and Onboarding Planner (bpinheiroms/dotfiles, 108 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
rongxinzy (a GitHub organization) maintains it in rongxinzy/RongxinAI, which has 154 GitHub stars. The repository holds 94 skills in this directory. The repository was last updated on October 10, 2026.
Source: rongxinzy/RongxinAI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.