Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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banana
AI image generation Creative Director powered by Google Gemini Nano Banana models. Use this skill for ANY request involving image creation, editing, visual asset production, or creative direction. Triggers on: generate an image, create a photo, edit this picture, design a logo, make a banner, visual for my anything, and all /banana commands. Handles text-to-image, image editing, multi-turn creative sessions, batch workflows, and brand presets.
AgriciDaniel/banana-claude 208
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recall-search
Search across all memory tiers (registers, daily logs, archive) for relevant information.
davegoldblatt/total-recall 192
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recall-init
Scaffold the Total Recall memory directory structure in this project.
davegoldblatt/total-recall 192
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recall-promote
Review daily logs and promote entries to registers or working memory.
davegoldblatt/total-recall 192
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recall-status
Show memory system health — word counts, stale entries, hook status, recommendations.
davegoldblatt/total-recall 192
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recall-log
Quick append to daily log without write gate evaluation.
davegoldblatt/total-recall 192
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recall-write
Write a note to memory with write gate evaluation. Only saves behavior-changing facts.
davegoldblatt/total-recall 192
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recall-forget
Mark memory entries as superseded. Preserves history, does not delete.
davegoldblatt/total-recall 192
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recall-init-ids
Add durable IDs to memory entries. Required before /recall-maintain can run.
davegoldblatt/total-recall 192
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recall-context
Show what memory files are loaded and available in the current session.
davegoldblatt/total-recall 192
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recall-maintain
Pressure-based memory cleanup. Demotes, archives, or pins entries when working memory exceeds budget.
davegoldblatt/total-recall 192
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paperreview
Use when the user explicitly wants to upload a final or near-final PDF to paperreview.ai for an external second opinion. Skip this for local paper critique, which should go through `paper-review-pipeline` first.
cnfjlhj/ai-collab-playbook 190
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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
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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
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collaborating-with-claude
Use when you want Claude Code CLI as a second opinion for coding tasks such as design tradeoffs, debugging, or diff review, while keeping Codex as the primary implementer.
cnfjlhj/ai-collab-playbook 190
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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
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writing-anti-ai
This skill should be used when the user asks to "remove AI writing patterns", "humanize this text", "make this sound more natural", "remove AI-generated traces", "fix robotic writing", or needs to eliminate AI writing patterns from prose. Supports both English and Chinese text. Based on Wikipedia's "Signs of AI writing" guide, detects and fixes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, AI vocabulary, negative parallelisms, and excessive conjunctive phrases.
cnfjlhj/ai-collab-playbook 190
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xhs-longform-private-publisher
This skill should be used when the user wants to publish an existing Markdown article to Xiaohongshu as a private longform post, keep the original wording and structure, insert inline images in order, use one-click layout, and verify the result in note manager.
cnfjlhj/ai-collab-playbook 190
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collaborating-with-codex
Use when you explicitly want a second Codex CLI session to prototype, debug, or review code, while your current session remains the primary owner of the final result.
cnfjlhj/ai-collab-playbook 190
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xhs-note-creator
小红书笔记素材创作技能。当用户需要创建小红书笔记素材时使用这个技能。技能包含：根据用户的需求和提供的资料，撰写小红书笔记内容（标题+正文），生成图片卡片（封面+正文卡片），以及发布小红书笔记。
cnfjlhj/ai-collab-playbook 190
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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
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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
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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
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research-lead-sidecar
Use when the user wants multi-agent division of labor for research-led work and the lead should stay on the critical path while 1-2 bounded sidecars handle low-coupling tasks. Do not use this for tiny tasks, fully sequential debugging, or overlapping refactors.
cnfjlhj/ai-collab-playbook 190