Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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add-expert
Add a new expert to the Remotion experts page
remotion-dev/remotion 41,180
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web-renderer-test
Add a test case to the web renderer
remotion-dev/remotion 41,180
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screenshot-analyzer
Analyze product screenshots to extract feature lists and generate development task checklists. Use when: (1) Analyzing competitor product screenshots for feature extraction, (2) Generating PRD/task lists from UI designs, (3) Batch analyzing multiple app screens, (4) Conducting competitive analysis from visual references.
notedit/happy-skills 324
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feature-pipeline
Execute implementation tasks from design documents using markdown checkboxes. Use when (1) implementing features from feature-analyzer output, (2) resuming interrupted work, (3) batch executing tasks. Triggers on 'start implementation', 'run tasks', 'resume'.
notedit/happy-skills 324
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feature-analyzer
Turn ideas into fully formed designs and specs through natural collaborative dialogue. Use when planning new features, designing architecture, or making significant changes to the codebase.
notedit/happy-skills 324
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feature-dev
Guided feature development with codebase understanding and architecture focus. Use for implementing features systematically: explore → clarify → design → implement → test → review.
notedit/happy-skills 324
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issue-flow
AI-Native Issue-Driven development workflow. From GitHub Issue to merged PR: parse issue, explore codebase, design technical plan, execute with agent team, create PR, and cleanup. Use when a user wants to implement a GitHub Issue end-to-end: `/issue-flow #123` or `/issue-flow` to pick from open issues.
notedit/happy-skills 324
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video-producer
End-to-end Remotion video production from natural language briefs. Orchestrates narrative structure, scene animation, visual style, and rendering to produce complete promotional videos. Use when a user wants to create a complete video (product promo, typographic piece, social media animation) — not just individual animation effects. Coordinates gsap-animation, spring-animation, and react-animation skills as building blocks.
notedit/happy-skills 324
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gsap-animation
GSAP + Remotion integration for professional motion graphics video production. Timeline orchestration, text splitting, SVG morphing, advanced easing, and reusable effect presets.
notedit/happy-skills 324
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spring-animation
Remotion spring physics for motion graphics video production. Bouncy entrances, elastic trails, orchestrated sequences, physics presets, and organic motion patterns that interpolate() alone cannot achieve.
notedit/happy-skills 324
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react-animation
ReactBits animations for Remotion - curated for aesthetic excellence in video production
notedit/happy-skills 324
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tts-skill
MiniMax TTS API - 文本转语音、声音克隆、声音设计
notedit/happy-skills 324
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cover-image
Generate article cover images with 5 dimensions (type, palette, rendering, text, mood). Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to 'generate cover image', 'create article cover', or 'make cover'.
notedit/happy-skills 324
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skill-creation-guide
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 Claude's capabilities with specialized knowledge, workflows, or tool integrations.
notedit/happy-skills 324
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dev-browser
Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website", "log into", or any browser interaction request.
SawyerHood/dev-browser 5,065
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thesis-compile-review
对中文毕业论文进行编译、warning 分级、模板模式检查、数据与引用复查，并把问题回写成可继续迭代的 review checklist。
**Trigger**: 毕业论文编译检查, thesis compile review, warning 分级, 终稿复查, main.pdf 检查.
**Use when**: 论文已经回写到 TeX 交付层，需要确认是否真正达到“可提交”的质量，而不是只做到能编译。
**Skip if**: 还处于中间层重构阶段，`chapters/*.tex` 尚未形成稳定交付稿。
**Network**: none.
**Guardrail**: 不在这里重构章节主线；如果发现结构问题，明确回退到上游修复。
WILLOSCAR/research-units-pipeline-skills 377
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front-matter-writer
Write the survey's front matter files (Abstract, Introduction, Related Work, Discussion, Conclusion) in paper voice, with high citation density and a single evidence-policy paragraph.
**Trigger**: front matter writer, introduction writer, related work writer, abstract writer, discussion writer, conclusion writer, 引言, 相关工作, 摘要, 讨论, 结论.
**Use when**: you are in C5 (prose allowed) and need the paper-like shell to stop the draft reading like stitched subsections.
**Skip if**: `Approve C2` is missing in `DECISIONS.md`, or `citations/ref.bib` is missing.
**Network**: none.
**Guardrail**: no invented facts/citations; no pipeline jargon in final prose; no repeated evidence disclaimers; only use keys present in `citations/ref.bib`.
WILLOSCAR/research-units-pipeline-skills 377
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thesis-question-list
维护中文毕业论文的 `codex_md/question_list.md`：把本轮问题、边界、优先级、协作方案和验收口径结构化，作为整条 thesis pipeline 的控制面。
**Trigger**: 毕业论文问题清单, thesis question list, 论文修改清单, 本轮目标, 结构问题梳理, review问题整理.
**Use when**: 你已经有一批材料或上一轮 review 结果，需要明确这一轮到底修什么、不修什么，并给后续重构与编译复查提供统一入口。
**Skip if**: 当前只是在做一次性局部措辞修改，且没有形成新一轮结构/证据/编译问题。
**Network**: none.
**Guardrail**: 不在这里写正文；不把问题单写成长篇散文；每条问题必须可执行、可验收。
WILLOSCAR/research-units-pipeline-skills 377
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novelty-matrix
Create a novelty/prior-work matrix comparing the submission’s contributions against related work (overlaps vs deltas).
**Trigger**: novelty matrix, prior-work matrix, overlap/delta, 相关工作对比, 新颖性矩阵.
**Use when**: peer review 中评估 novelty/positioning，需要把贡献与相关工作逐项对齐并写出差异点证据。
**Skip if**: 缺少 claims（先跑 `claims-extractor`）或你不打算做新颖性定位分析。
**Network**: none (retrieval of additional related work is out-of-scope unless provided).
**Guardrail**: 明确 overlap 与 delta；尽量给出可追溯证据来源（来自稿件/引用/作者陈述）。
WILLOSCAR/research-units-pipeline-skills 377
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protocol-writer
Write a systematic review protocol into `output/PROTOCOL.md` (databases, queries, inclusion/exclusion, time window, extraction fields).
**Trigger**: protocol, PRISMA, systematic review, inclusion/exclusion, 检索式, 纳入排除.
**Use when**: systematic review pipeline 的起点（C1），需要先锁定 protocol 再开始 screening/extraction。
**Skip if**: 不是做 systematic review（或 protocol 已经锁定且不允许修改）。
**Network**: none.
**Guardrail**: protocol 必须包含可执行的检索与筛选规则；需要 HUMAN 签字后才能进入 screening。
WILLOSCAR/research-units-pipeline-skills 377
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rubric-writer
Write a rubric-based peer review report (`output/REVIEW.md`) using extracted claims and evidence gaps (novelty/soundness/clarity/impact).
**Trigger**: rubric review, referee report, peer review write-up, 审稿报告, REVIEW.md.
**Use when**: peer-review pipeline 的最后阶段（C3），已有 `output/CLAIMS.md` + `output/MISSING_EVIDENCE.md`（以及可选 novelty matrix）。
**Skip if**: 上游产物未就绪（claims/evidence gaps 缺失）或你不打算输出完整审稿报告。
**Network**: none.
**Guardrail**: 给可执行建议（actionable feedback），并覆盖 novelty/soundness/clarity/impact；避免泛泛而谈。
WILLOSCAR/research-units-pipeline-skills 377
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arxiv-search
Retrieve paper metadata from arXiv using keyword queries and save results as JSONL (`papers/papers_raw.jsonl`).
**Trigger**: arXiv, arxiv, paper search, metadata retrieval, 文献检索, 论文检索, 拉取元数据, 离线导入.
**Use when**: 需要一个初始论文集合（survey/snapshot 的 Stage C1），来源为 arXiv（在线检索或离线导入 export）。
**Skip if**: 已经有可用的 `papers/papers_raw.jsonl`，或数据源不是 arXiv。
**Network**: 在线检索需要网络；离线 `--input <export.*>` 不需要网络。
**Guardrail**: 只做 metadata；不要在 `output/` 写长 prose。
WILLOSCAR/research-units-pipeline-skills 377
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limitation-weaver
Rewrite limitation passages so the paper keeps limitations without falling into count-based slot phrases (e.g., \"Two limitations…\") across many H3s.
**Trigger**: limitation weaver, rewrite limitations, remove two limitations, 去Two limitations, 局限改写, caveat rewrite.
**Use when**: `writer-selfloop` is PASS but flags repeated count-based limitation openers in `output/WRITER_SELFLOOP_TODO.md`, or multiple H3s share the same limitation cadence.
**Skip if**: the limitation is evidence-missing (route upstream), or you are pre-C2 (NO PROSE).
**Network**: none.
**Guardrail**: do not invent facts; do not add/remove/move citation keys; do not delete subsection-specific limitations; keep claim→evidence anchoring intact.
WILLOSCAR/research-units-pipeline-skills 377
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evidence-draft
Create per-subsection evidence packs (NO PROSE): claim candidates, concrete comparisons, evaluation protocol, limitations, plus citation-backed evidence snippets with provenance.
**Trigger**: evidence draft, evidence pack, claim candidates, concrete comparisons, evidence snippets, provenance, 证据草稿, 证据包, 可引用事实.
**Use when**: `outline/subsection_briefs.jsonl` exists and you want evidence-first section drafting where every paragraph can be backed by traceable citations/snippets.
**Skip if**: `outline/evidence_drafts.jsonl` already exists and is refined (no placeholders; >=4 grounded comparisons per subsection in survey mode; `blocking_missing` empty).
**Network**: none (richer evidence improves with abstracts/fulltext).
**Guardrail**: NO PROSE; do not invent facts; only use citation keys that exist in `citations/ref.bib`.
WILLOSCAR/research-units-pipeline-skills 377