.fyi
SkillsMCPPluginsSubagents

Browse by category

DevOps & CI/CD SkillsProductivity & Workflow SkillsOther SkillsProduct & Project Management SkillsDocumentation & Knowledge SkillsCode Review & Refactor SkillsBackend & APIs SkillsAgent Meta & Communication SkillsResearch SkillsSecurity SkillsUX UI & Design SkillsTesting & QA SkillsSee all →

Every Claude Code skill, MCP server, plugin and subagent in one directory. Searchable, comparable, and one command from installed. Live stats from GitHub, npm and PyPI.

We're on Product HuntYour agent's app storeCheck it out →
Agent SkillsMCP ServersPluginsSubagentsCoding Agents
CollectionsOfficial publishersGlossaryFAQBlogSearchSavedFeedback
PrivacyTermsllms.txtSitemap

made with ♥ · © 2026 aaaa.fyi

Independent project · real data from public registries

…/huck012428-lab/prompt-atlas
home/skills/huck012428-lab/prompt-atlas
huck012428-lab avatar

prompt-atlas

byhuck012428-lab· 1 skill

Stars

73

Forks

5

Category

Research

View on GitHub

TL;DR

A curated, versioned, searchable library of production-grade prompts for LLM trainers, AI product managers, and evaluation teams. 100 cards across 8 directions — RAG, Agent, RLHF, SFT, Multimodal, Chain-of-Thought, Evaluation, Code. Triggers when the user asks for a prompt for retrieval scoring, multi-hop QA, query rewriting, HyDE, citation auditing, hallucination detection, chunk summarization, context compression, agent planning / tool-call schema, agent reflection, tool-call repair, plan-and-execute, trajectory memory compression, multi-agent sub-task delegation, pairwise preference labeling, pointwise reward scoring, constitutional critique-and-revise, best-of-N selection, red-team prompt generation, instruction augmentation, self-instruct, SFT data filtering, SFT response generation, multi-turn conversation generation, few-shot example selection, structured image captioning, visual question answering, VLM caption verification, OCR structured extraction, chart and table extraction, structured reasoning, least-to-most decomposition, self-consistency aggregation, verify-then-finalize, tree-of-thoughts, LLM-as-judge rubrics, reference-based judging, per-claim factuality, pointwise quality scoring, safety output classification, position-bias-aware pairwise judging, multi-turn dialogue judging, code review, test case generation, code explanation, code evaluation, or refactor suggestion. Use to locate and adapt a Prompt Card rather than writing prompts from scratch.

How to install prompt-atlas?

huck012428-lab/prompt-atlas
$npx -y skills add huck012428-lab/prompt-atlas --skill prompt-atlas

Installs into the current project.

›Prefer a prompt? Paste this to your agent

Use this skill

Run `npx skills use "https://github.com/huck012428-lab/prompt-atlas" --skill "huck012428-lab/prompt-atlas"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.

Use the whole pack

Use the skills in "https://github.com/huck012428-lab/prompt-atlas" that are relevant to the current task. Run `npx skills add "https://github.com/huck012428-lab/prompt-atlas"` and select the relevant skills, then follow their instructions.

Files · 1

View on GitHub
SKILL.md
1# prompt-atlas
2 
3A curated, versioned, searchable library of production-grade prompts for
4LLM trainers, AI product managers, prompt engineers, RLHF / SFT data
5teams, model evaluation teams, and AI application builders.
6 
7一个精选、带版本、可检索的生产级 Prompt 库,面向 LLM trainer、AI 产品
8经理、Prompt 工程师、RLHF / SFT 数据团队、模型评估团队、AI 应用开发者。
9 
10> 🌐 **Live site / 在线站点**:
11> [huck012428-lab.github.io/prompt-atlas](https://huck012428-lab.github.io/prompt-atlas/)
12> — searchable, sidebar navigation, copy-button on every prompt block.
13> 网页版含全站搜索、侧边栏导航、prompt 一键复制。
14 
15This is **not** a "awesome prompts" snippet collection. Every entry is a
16**Prompt Card**: a reusable work asset with metadata, variables,
17examples, documented failure modes, and tuning notes.
18 
19这**不是** awesome-prompts 式的素材合集。每一个条目都是一张 **Prompt
20Card**:带元数据、变量、示例、失败模式、调优笔记的可复用工作资产。
21 
22## Why this exists / 为什么做这个
23 
24Production prompt work has the same problems as any other engineering
25discipline: people rewrite the same prompts from scratch, lose track of
26what works on which model, and discover failure modes the third time
27they ship them. Treating prompts as *cards* — with schema, examples, and
28documented failure modes — makes them reusable across teams and over
29time.
30 
31生产环境的 Prompt 工作和任何工程学科一样会踩同样的坑:每次都从零写、
32记不清哪条 prompt 在哪个模型上稳、上线第三次才发现固定的失败模式。把
33prompt 当作"卡片"——有 schema、有示例、有失败模式记录——它们才能在
34团队之间和时间线上被真正复用。
35 
36## What's inside / 库里有什么
37 
38Cards are organised by direction:
39 
40卡片按技术方向组织:
41 
42| Direction / 方向 | Examples / 内容举例 |
43|------------------|----------------------------------------------------------------|
44| **RAG** | Retrieval scoring, multi-hop eval synthesis, query rewriting, HyDE, citation faithfulness, answer grounding<br/>检索打分、多跳评测题合成、query 改写、HyDE、citation 忠实度、答案扎根性 |
45| **Agent** | ReAct planners with strict tool-call schemas<br/>带严格 tool-call schema 的 ReAct planner |
46| **RLHF** | Pairwise preference labelers across HHH dimensions<br/>HHH 三维度的 pairwise 偏好标注器 |
47| **SFT** | Instruction-set augmentation from seed examples<br/>从种子样本扩展 SFT 指令集 |
48| **Multimodal** | VLM caption verification against actual images<br/>VLM caption 与图像内容核对 |
49| **CoT** | Structured reasoning with rationale summaries<br/>结构化推理 + rationale 摘要 |
50| **Eval** | LLM-as-judge rubrics for open-ended outputs<br/>开放式输出的 LLM-as-judge rubric |
51| **Code** | Code review checklist, test generation, code explanation, refactor suggestions, code-eval judge<br/>结构化 code review、测试生成、代码解释、重构建议、代码评估 |
52 
53The complete catalog lives in [`INDEX.md`](INDEX.md) (auto-generated).
54 
55完整目录见 [`INDEX.md`](INDEX.md)(自动生成)。
56 
57## I want to... / 我想做...
58 
59Maps a goal to the card to use. New here? See
60[`docs/QUICKSTART.md`](docs/QUICKSTART.md) for a 5-minute walkthrough.
61 
62第一次用?看 [`docs/QUICKSTART.md`](docs/QUICKSTART.md) — 5 分钟从零到能用一张卡。
63 
64### Evaluate / score AI outputs · 评估和打分
65 
66| Goal · 我想做 | Card · 用这张卡 |
67|------------------------------------------------------------------------|-----------------|
68| Score one AI output on factuality / coherence / completeness · 给单个 AI 输出按多维度打分 | [`eval/llm-judge-rubric-open-ended`](prompts/eval/llm-judge-rubric-open-ended.md) |
69| Compare a model output against a gold answer · 用 gold 答案对照打分 | [`eval/reference-based-judge`](prompts/eval/reference-based-judge.md) |
70| Decompose an output into atomic claims and fact-check each · 把答案拆成原子事实逐条核查 | [`eval/per-claim-factuality-judge`](prompts/eval/per-claim-factuality-judge.md) |
71| Score one output on custom dimensions with confidence · 自定义维度打分 + 置信度 | [`eval/pointwise-quality-scorer`](prompts/eval/pointwise-quality-scorer.md) |
72| Classify an AI output for safety harms · 输出安全分类(allow/review/block) | [`eval/safety-output-classifier`](prompts/eval/safety-output-classifier.md) |
73| Pick the best of N AI responses · 从 N 个回答里选最好的 | [`rlhf/best-of-n-selector`](prompts/rlhf/best-of-n-selector.md) |
74| Label A vs B preference (HHH) · 给 A/B 两个回答打偏好标签 | [`rlhf/pairwise

Preview

huck012428-lab/prompt-atlashuck012428-lab/prompt-atlas

$ npx -y skills add huck012428-lab/prompt-atlas --skill prompt-atlas

▸ installing to .claude/skills…

✓ prompt-atlas ready

Repohuck012428-lab/prompt-atlas
TypeSkills
CategoryResearch
ForResearcherAnalyst
UpdatedMay 2026
License—
First seenJul 27, 2026

Tags

Skill

Related

6 picks
Type
  1. mattpocock avatarresearchInvestigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo.SkillsJul 2026183k189k
  2. lllllllama avataranalyze-projectRigor Analyze / Rigor Audit read-only skill for deep learning research repositories.SkillsJul 2026176k512
  3. lllllllama avatarpaper-context-resolverRigor Paper Context helper for README-first deep learning repo reproduction.SkillsJul 2026176k512
  4. lllllllama avatarrepo-intake-and-planRigor Intake helper for README-first deep learning repo reproduction.SkillsJul 2026176k512
  5. firecrawl avatarfirecrawl-searchWeb search with full page content extraction. Use this skill whenever the user asks to search the web, find articles, research a topic, look something up, find…SkillsJul 202677k539
  6. coreyhaines31 avatarcustomer-researchWhen the user wants to conduct, analyze, or synthesize customer research.SkillsJul 202671k42k