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Agent skills
coding-agent

Topic: coding-agent

222 skills in this topic.

data-analysis Loads CSV, Excel, and JSON data files, performs statistical analysis, and generates charts and reports. Use when the user asks to analyze a dataset, compute statistics, create visualizations, find trends, or produce a data report.
0xranx/golembot 247
coder Code specialist in a multi-bot group chat — writes, reviews, debugs, and explains code. Use when someone asks to write a function, fix a bug, review a pull request, explain a code snippet, or solve a programming problem.
0xranx/golembot 247
kb-guide Search, read, create, and update knowledge base entries via MCP-connected KB tools. Use when the user asks to look up documentation, find existing articles, check if docs exist on a topic, create a new KB entry, update an existing document, or when domain questions should be answered from the knowledge base first.
0xranx/golembot 247
message-push Send proactive messages to IM groups or individual users via the gateway Send API. Use when the user says to send, post, notify, forward, or tell someone a message on Feishu, Slack, Telegram, Discord, DingTalk, or WeCom.
0xranx/golembot 247
research Research assistant — gathers information, performs competitive analysis, and generates structured research reports. Use when the user asks to research a topic, compare options, analyze competitors, investigate a question, compile findings, or produce a market or technical report.
0xranx/golembot 247
faq-support Answers common customer questions from a knowledge base and escalates to a human agent when unable to help. Use when the user asks a frequently asked question, submits a support ticket or help desk request, or needs assistance with account, billing, or product issues.
0xranx/golembot 247
im-adapter Format responses for instant messaging platforms such as Lark, DingTalk, WeCom, Slack, and Telegram. Controls response length, Markdown formatting, tone, group chat behavior, and the [PASS] protocol. Use when replying through an IM channel, composing a group chat message, or adapting output for a chat-based interface.
0xranx/golembot 247
multi-bot Coordinates responses between multiple GolemBot instances in a shared fleet. Use when the bot operates in a group chat with other bots, needs to decide whether to respond or pass, or must call a peer bot's API to fetch cross-domain data.
0xranx/golembot 247
researcher Research analyst in a multi-bot group chat — synthesizes background information, fact-checks claims, identifies knowledge gaps, and suggests next steps. Use when the conversation needs context, a factual claim needs verification, someone asks for background research, or a discussion lacks supporting evidence.
0xranx/golembot 247
general Handle everyday conversation, answer questions, manage files, take notes, run scripts, and maintain persistent memory across sessions. Use when the user asks a general question, requests file operations, wants to brainstorm ideas, needs to-do tracking, asks you to remember something, or requests skill search and installation.
0xranx/golembot 247
ops Content operations assistant — drafts blog posts, social media copy, and marketing materials, compiles data briefings, and tracks competitor activity. Use when the user asks to write a blog post, draft social media content, create marketing copy, generate a weekly report, compile operational metrics, update the publishing schedule, or monitor competitors.
0xranx/golembot 247
meeting Meeting notes assistant — organizes transcripts into structured minutes, extracts action items, and tracks attendee decisions. Use when the user asks to summarize a meeting, take meeting notes, write up minutes, create a meeting recap, list attendees, or extract action items from a call.
0xranx/golembot 247
escalation Escalate unresolvable or sensitive requests to a human agent by recording an escalation entry. Use when the user asks to speak to a human, the bot cannot answer confidently, the request involves financial, legal, or security concerns, a safety issue is detected, or the user is frustrated after repeated failures.
0xranx/golembot 247
task-manager Creates and manages scheduled tasks, cron jobs, recurring reminders, and timers via the Task HTTP API. Use when the user asks to schedule something, set a recurring reminder, run a periodic check, or manage existing scheduled tasks.
0xranx/golembot 247
skill-creator Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
cnfjlhj/ai-collab-playbook 190
proactive-explorer 落实 CLAUDE.md / AGENTS.md 中的“主动探索”原则，在向用户提问前自动使用 Grep、Read、Bash、WebSearch 等工具获取信息
cnfjlhj/ai-collab-playbook 190
skill-governance-loop Use when the user asks to review a skill, analyze skill quality, update a skill version, or run a repeatable keep/disable/archive decision loop from real failures instead of abstract best practices.
cnfjlhj/ai-collab-playbook 190
find-skills Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. Start with the skills.sh registry via `npx skills find`; if there are no good matches, fall back to a GitHub deep search for SKILL.md patterns before concluding no skill exists.
cnfjlhj/ai-collab-playbook 190
skills-governance Use when auditing a large local skill collection, identifying duplicate or imported skills, comparing skill roots, or deciding what to keep, disable, or archive across Codex and adjacent agent skill directories.
cnfjlhj/ai-collab-playbook 190
all-plan Use when a task is ambiguous and needs deep multi-role planning with designer, inspiration, and reviewer perspectives before execution. Skip this for ordinary task plans.
cnfjlhj/ai-collab-playbook 190
Human-Machine Brainstorm (人机风暴) This skill should be used when the user asks to "人机风暴", "Human-Machine Brainstorm", "human storm", "ccb brainstorm", "需求对齐调度", "spec convergence", or wants a CCB-based multi-model requirement alignment loop with Codex as the dispatcher.
cnfjlhj/ai-collab-playbook 190
session-recovery-codex Use when recovering a Codex session, especially if the user provides a Codex session id or wants recent Codex sessions listed before resuming work.
cnfjlhj/ai-collab-playbook 190
paper-review-pipeline Use when a mostly complete ML conference paper needs self-review, pre-submission QA, camera-ready checking, section-by-section critique, citation-risk inspection, or rebuttal/review-response drafting. Skip this for initial drafting and use `paperreview` only when the user explicitly wants external submission.
cnfjlhj/ai-collab-playbook 190
academic-paper-helper 学术论文写作助手，专门用于 LaTeX 论文编写、BibTeX 管理、格式化、学术写作规范检查。适用于 AI/ML 研究论文、会议投稿（NeurIPS、ICML、ICLR 等）
cnfjlhj/ai-collab-playbook 190