Caching Architecture
majiayu000/litellm-rs
LiteLLM-RS response caching architecture. An agent skill from majiayu000/litellm-rs.
当用户明确点名要用 OpenAI Codex CLI 协同时使用此 Skill,把指定任务委托给 Codex 执行并整合结果。
$ npx skills add bkywksj/knowledge-base --skill collaborating-with-codex -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install bkywksj/knowledge-base collaborating-with-codex --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/bkywksj/knowledge-base.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/collaborating-with-codex .claude/skills/collaborating-with-codex && 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 "collaborating-with-codex" agent skill from https://github.com/bkywksj/knowledge-base/tree/master/.codex/skills/collaborating-with-codex into .claude/skills/collaborating-with-codex/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collaborating-with-codex", 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/bkywksj/knowledge-base/tree/master/.codex/skills/collaborating-with-codexType 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 bkywksj/knowledge-base --skill collaborating-with-codex -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install bkywksj/knowledge-base collaborating-with-codex --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bkywksj/knowledge-base.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/collaborating-with-codex .agents/skills/collaborating-with-codex && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "collaborating-with-codex" agent skill from https://github.com/bkywksj/knowledge-base/tree/master/.codex/skills/collaborating-with-codex into .agents/skills/collaborating-with-codex/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collaborating-with-codex", 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 bkywksj/knowledge-base --skill collaborating-with-codex -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install bkywksj/knowledge-base collaborating-with-codex --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bkywksj/knowledge-base.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/collaborating-with-codex .cursor/skills/collaborating-with-codex && 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 "collaborating-with-codex" agent skill from https://github.com/bkywksj/knowledge-base/tree/master/.codex/skills/collaborating-with-codex into .cursor/skills/collaborating-with-codex/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collaborating-with-codex", 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/bkywksj/knowledge-base.git --path .codex/skills/collaborating-with-codex--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 bkywksj/knowledge-base --skill collaborating-with-codex -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install bkywksj/knowledge-base collaborating-with-codex --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bkywksj/knowledge-base.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/collaborating-with-codex .gemini/skills/collaborating-with-codex && 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 "collaborating-with-codex" agent skill from https://github.com/bkywksj/knowledge-base/tree/master/.codex/skills/collaborating-with-codex into .gemini/skills/collaborating-with-codex/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collaborating-with-codex", 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 bkywksj/knowledge-base collaborating-with-codexInstalls 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 bkywksj/knowledge-base --skill collaborating-with-codex -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/bkywksj/knowledge-base.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/collaborating-with-codex .github/skills/collaborating-with-codex && 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 "collaborating-with-codex" agent skill from https://github.com/bkywksj/knowledge-base/tree/master/.codex/skills/collaborating-with-codex into .github/skills/collaborating-with-codex/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collaborating-with-codex", 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 bkywksj/knowledge-base --skill collaborating-with-codex -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install bkywksj/knowledge-base collaborating-with-codex --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bkywksj/knowledge-base.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/collaborating-with-codex .opencode/skills/collaborating-with-codex && 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 "collaborating-with-codex" agent skill from https://github.com/bkywksj/knowledge-base/tree/master/.codex/skills/collaborating-with-codex into .opencode/skills/collaborating-with-codex/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collaborating-with-codex", 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.
collaborating-with-codex当用户明确点名要用 OpenAI Codex CLI 协同时使用此 Skill,把指定任务委托给 Codex 执行并整合结果。
Collaborating With Codex is an agent skill from bkywksj/knowledge-base. 当用户明确点名要用 OpenAI Codex CLI 协同时使用此 Skill,把指定任务委托给 Codex 执行并整合结果。 触发场景: - 用户明确说"用 Codex / 让 codex 看看 / codex 协同" - 用户要求把某个具体任务委托给 Codex CLI 执行 - 用户要求多模型交叉验证,并点名 Codex 作为其中一方 - 用户要求接续之前的 Codex 会话(SESSIONID / latest) 触发词:Codex、codex协同、codex CLI、委托给 Codex、codexbridge 前置要求: - 已安装 Codex CLI (npm install -g @openai/codex) - 已配置 OpenAI API Key 🔴 不适用场景(未点名 Codex 一律不激活本技能): - 算法实现 / 复杂逻辑 / 后端原型 → 直接自己写,走 rust-fundamentals、api-development - 代码审查 / Bug 分析 → 走 bug-detective、code-patterns - 生成 Diff 补丁 → 直接用 Edit/Write…
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/codex_bridge.py`).
It sits in AI & LLM Engineering, covering LLM API integration. It works with OpenAI, npm and Rust. The repository describes itself as: 本地优先的知识库桌面应用。Markdown 编辑器 + 全文搜索(FTS5) + 双向链接 / 知识图谱;多端同步(WebDAV / S3 / 同步盘,单笔记粒度增量 + 自动双向调度,含整库 ZIP 备份);AI 问答与智能规划(OpenAI 兼容 / Ollama / 自定义 provider,工具调用框架);支持导入 .md / .txt /…
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit deb640b. 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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonnpmcodexFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
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.
Collaborating With Codex loads about 1.1k tokens when it runs. Until then it costs about 142 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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 159 words (~1,056 tokens).
“输出: JSON 格式,包含 success、SESSION_ID、agent_messages 和可选的 error。”
SKILL.md and 1 other file (scripts) in .codex/skills/collaborating-with-codex of bkywksj/knowledge-base.
Open the folder on GitHubat commit deb640b
Collaborating With Codex 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 |
|---|---|---|---|---|---|---|
| Collaborating With Codex this skillbkywksj/knowledge-base | 330 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Caching Architecturemajiayu000/litellm-rs | 117 | — | ~2k | Automated safety check: Pass | MIT | |
| Codex On IshOpenMinis/MinisSkills | 444 | — | ~1k | Automated safety check: Pass | MIT | |
| ModLens Image Vision Bridgeliustack/modlens | 4.2k | 1 repos | ~1.3k | Automated safety check: Notes | MIT | |
| 9Router AI Gateway Setupdecolua/9router | 30k | — | ~744 | Automated safety check: Pass | MIT | |
| Mem0 Provider for Vercel AI SDKmem0ai/mem0 | 67k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 |
majiayu000/litellm-rs
LiteLLM-RS response caching architecture. An agent skill from majiayu000/litellm-rs.
OpenMinis/MinisSkills
Install and run OpenAI Codex CLI inside the Minis/iSH Alpine sandbox on iOS, where rustls TLS and async sockets are broken.
liustack/modlens
Gives text-only models sight by running the modlens CLI on an image path or URL and returning structured JSON evidence with transcribed text, layout and semantics.
decolua/9router
Sets up access to the 9Router AI gateway, an OpenAI-compatible REST endpoint for chat, images, speech, embeddings, web search and web fetch, and indexes its capability skills.
mem0ai/mem0
Adds persistent memory to Vercel AI SDK apps with the Mem0 provider, using a wrapped model or standalone retrieve and store utilities.
decolua/9router
Sends chat and code-generation requests through a 9Router gateway using OpenAI or Anthropic message formats, with streaming and auto-fallback combos.
bkywksj/knowledge-base
当用户明确点名要用 Google Gemini CLI 协同时使用此 Skill,把指定任务委托给 Gemini 执行并整合结果。
bkywksj/knowledge-base
用于本项目中与 ai-profile crate 相关的开发:模型服务预置、ai.profile 导入导出、「获取」零成本验证、上下文窗口限额。
bkywksj/knowledge-base
Tauri Command (IPC API) 开发技能,指导如何设计和实现 Rust Command 供前端调用. An agent skill from bkywksj/knowledge-base.
bkywksj/knowledge-base
Tauri 架构设计技能,指导双进程架构下的模块拆分和代码组织. An agent skill from bkywksj/knowledge-base.
bkywksj/knowledge-base
当需要探索方案、头脑风暴、创意思维时自动使用此 Skill. An agent skill from bkywksj/knowledge-base.
bkywksj/knowledge-base
排查已发生的问题、定位 Bug 原因. An agent skill from bkywksj/knowledge-base.
Categories
当用户明确点名要用 OpenAI Codex CLI 协同时使用此 Skill,把指定任务委托给 Codex 执行并整合结果。. Collaborating With Codex is an agent skill from bkywksj/knowledge-base.
Collaborating With Codex fits situations like: tasks that involve LLM API integration.
Run `npx skills add bkywksj/knowledge-base --skill collaborating-with-codex -a claude-code`. Or copy the skill folder (.codex/skills/collaborating-with-codex in bkywksj/knowledge-base) into .claude/skills/collaborating-with-codex in your project. Claude Code loads it when a task matches its description.
Run `npx skills add bkywksj/knowledge-base --skill collaborating-with-codex -a codex`. Or copy the skill folder (.codex/skills/collaborating-with-codex in bkywksj/knowledge-base) into .agents/skills/collaborating-with-codex 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 bkywksj/knowledge-base --skill collaborating-with-codex -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/collaborating-with-codex, .gemini/skills/collaborating-with-codex, .github/skills/collaborating-with-codex and .opencode/skills/collaborating-with-codex in your project.
Going by SKILL.md and its folder, Collaborating With Codex needs Python for the scripts in its folder and the command-line tools its instructions call (python, npm and codex). Our summary lists: Python 3; Node.js.
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Collaborating With Codex has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.1k tokens (SKILL.md is roughly 4.2k 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 Collaborating With Codex: Caching Architecture (majiayu000/litellm-rs, 117 stars), Codex On Ish (OpenMinis/MinisSkills, 444 stars), ModLens Image Vision Bridge (liustack/modlens, 4.2k stars) and 9Router AI Gateway Setup (decolua/9router, 30k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
bkywksj (a GitHub user) maintains it in bkywksj/knowledge-base, which has 330 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on October 2, 2026.
Source: bkywksj/knowledge-base on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.