Datasets:

huzey
/

claude-skills

name large_stringlengths 2 66	description large_stringlengths 0 2k	full_content large_stringlengths 0 21M	repo large_stringclasses 522 values	split large_stringclasses 1 value	qwen3emb_description listlengths 4.1k 4.1k	gpt_domain large_stringlengths 0 49	gpt_capability large_stringlengths 0 342	gpt_use_case large_stringlengths 0 337	gpt_triggers_constraints large_stringlengths 0 698	domain_category large_stringclasses 10 values	domain_subcategory large_stringclasses 64 values	qwen3emb_full_content listlengths 4.1k 4.1k	qwen3emb_gpt_domain listlengths 4.1k 4.1k	qwen3emb_gpt_capability listlengths 4.1k 4.1k	qwen3emb_gpt_use_case listlengths 4.1k 4.1k	qwen3emb_gpt_triggers_constraints listlengths 4.1k 4.1k	ref_files large_stringlengths 0 798k	skills_sh_id stringlengths 15 94	skills_sh_total_installs int64 4 218k ⌀	skills_sh_weekly_installs int64 2 255k ⌀	github_stars int64 1 244k ⌀
trader-analysis	"Analyze Polymarket traders, identify profitable traders to follow, and track their performance. Use(...TRUNCATED)	"---\nname: trader-analysis\ndescription: Analyze Polymarket traders, identify profitable traders to(...TRUNCATED)	agentmc15/polymarket-trader	train	[4.234375,1.7041015625,-1.2548828125,-1.7353515625,4.62890625,-1.9228515625,0.1190185546875,0.946289(...TRUNCATED)	Polymarket Trader Analysis	"Analyzes Polymarket traders via on-chain data and public API endpoints, calculates standardized per(...TRUNCATED)	"Use when building Polymarket copy trading features, trader discovery platforms, or tools to track t(...TRUNCATED)	"Trigger phrases: analyze Polymarket traders, find top Polymarket traders, build Polymarket copy tra(...TRUNCATED)	Data & Analytics	Other	[3.078125,2.32421875,-1.7412109375,-1.966796875,5.48828125,-1.1640625,0.54638671875,2.009765625,-0.8(...TRUNCATED)	[5.765625,1.3662109375,-0.1827392578125,0.50830078125,5.3125,0.251220703125,-0.7431640625,0.48657226(...TRUNCATED)	[5.515625,1.080078125,-0.951171875,0.763671875,3.853515625,-0.439697265625,-0.8623046875,-0.90332031(...TRUNCATED)	[5.59765625,0.343505859375,-1.095703125,0.4912109375,3.8828125,-0.546875,-1.0009765625,-1.9775390625(...TRUNCATED)	[4.84765625,1.435546875,-1.345703125,0.646484375,3.619140625,-0.0693359375,-1.1826171875,-0.57910156(...TRUNCATED)		agentmc15/polymarket-trader/trader-analysis	235	235	21
trading-strategies	"Framework for developing, testing, and deploying trading strategies for prediction markets. Use whe(...TRUNCATED)	"---\nname: trading-strategies\ndescription: Framework for developing, testing, and deploying tradin(...TRUNCATED)	agentmc15/polymarket-trader	train	[1.80078125,1.58203125,1.4482421875,0.383056640625,5.28515625,-1.3515625,-1.2734375,-0.0368347167968(...TRUNCATED)	Prediction Market Strategy Development	"Offers pre-built trading strategy templates, backtesting functionality, and risk management tools t(...TRUNCATED)	"Use when building custom prediction market trading strategies, testing strategy performance against(...TRUNCATED)	"Designed exclusively for prediction markets; backtesting requires historical market state data; sig(...TRUNCATED)	Software Engineering	Other	[1.06640625,1.220703125,1.5673828125,-1.65625,5.05078125,-0.69384765625,-0.77783203125,1.0322265625,(...TRUNCATED)	[6.19140625,1.5791015625,0.66455078125,2.732421875,5.1484375,-0.11798095703125,-0.8466796875,0.16198(...TRUNCATED)	[5.30859375,1.337890625,0.962890625,2.4921875,4.21484375,-0.80029296875,-1.7724609375,0.101806640625(...TRUNCATED)	[5.390625,0.44189453125,0.91455078125,2.3984375,4.15625,0.62158203125,-0.73388671875,-0.452880859375(...TRUNCATED)	[3.935546875,2.625,2.080078125,0.8466796875,2.669921875,2.81640625,-0.63671875,-0.51416015625,-2.716(...TRUNCATED)		agentmc15/polymarket-trader/trading-strategies	830	850	21
polymarket-api	"Deep integration guide for Polymarket's CLOB API, Gamma API, and on-chain data. Use when building t(...TRUNCATED)	"---\nname: polymarket-api\ndescription: Deep integration guide for Polymarket's CLOB API, Gamma API(...TRUNCATED)	agentmc15/polymarket-trader	train	[2.306640625,1.6611328125,-2.6875,-0.9208984375,4.80078125,0.1927490234375,-0.74951171875,-0.2200927(...TRUNCATED)	Polymarket API Integration	"Provides comprehensive integration guidance and functional code implementations for Polymarket's CL(...TRUNCATED)	"Use when developing Polymarket trading functionality, fetching market data, or implementing automat(...TRUNCATED)	"Triggers: requests for Polymarket API integration, Polymarket trading bot development. Constraints:(...TRUNCATED)	Software Engineering	Backend Development	[1.8115234375,1.24609375,-3.1015625,-0.6513671875,5.484375,0.26806640625,-0.93603515625,-0.089172363(...TRUNCATED)	[5.625,0.1173095703125,-1.4765625,0.99658203125,4.84375,1.1123046875,-0.8564453125,1.0244140625,-1.3(...TRUNCATED)	[4.09765625,1.1220703125,-0.9931640625,-0.2452392578125,3.80859375,0.498291015625,-1.486328125,1.046(...TRUNCATED)	[5.16796875,0.2354736328125,-1.5234375,1.3701171875,4.65625,-0.56884765625,-1.2412109375,0.658691406(...TRUNCATED)	[3.408203125,0.25439453125,-1.939453125,-0.55517578125,5.01953125,0.857421875,-1.3466796875,0.508300(...TRUNCATED)		agentmc15/polymarket-trader/polymarket-api	683	700	21
storyboard	"Create a six-frame storyboard that shows a user's journey from problem to solution. Use when you ne(...TRUNCATED)	"---\nname: storyboard\ndescription: Create a six-frame storyboard that shows a user's journey from (...TRUNCATED)	deanpeters/product-manager-skills	train	[2.47265625,-3.15625,-0.177001953125,2.23046875,-0.51123046875,-0.40283203125,-2.009765625,0.4287109(...TRUNCATED)	Product Management Storyboarding	"Creates a structured 6-frame visual narrative depicting a user's end-to-end journey from facing a p(...TRUNCATED)	"Use to align cross-functional stakeholders, pitch new product features, communicate product vision,(...TRUNCATED)	"Do not use for technical implementation details, as a replacement for user research, or for trivial(...TRUNCATED)	Business & Operations	Product & Requirements	[2.46484375,-2.845703125,-0.61669921875,2.685546875,-0.283203125,-0.0399169921875,-0.383544921875,2.(...TRUNCATED)	[5.41796875,-2.931640625,-1.173828125,3.267578125,1.25390625,-0.239990234375,-1.7353515625,0.0888671(...TRUNCATED)	[4.25,-5.66015625,1.5283203125,2.908203125,-0.032806396484375,3.46875,-0.1873779296875,0.2919921875,(...TRUNCATED)	[3.126953125,-2.15234375,-1.48046875,3.69140625,-1.55078125,1.958984375,-1.0283203125,1.8662109375,-(...TRUNCATED)	[5.68359375,-0.2193603515625,2.484375,1.71484375,0.841796875,0.1396484375,-1.17578125,1.8251953125,-(...TRUNCATED)	"./template.md\n---\n# Storyboard Template\n\nUse this template to collect inputs and output a 6-fra(...TRUNCATED)	deanpeters/product-manager-skills/storyboard	515	585	3,000
context-engineering-advisor	"Diagnose context stuffing vs. context engineering. Use when an AI workflow feels bloated, brittle, (...TRUNCATED)	"---\nname: context-engineering-advisor\ndescription: Diagnose context stuffing vs. context engineer(...TRUNCATED)	deanpeters/product-manager-skills	train	[5.16796875,-2.44921875,1.677734375,0.447998046875,3.546875,1.033203125,1.228515625,1.5908203125,-0.(...TRUNCATED)	AI Workflow Context Design	"Diagnoses context stuffing versus intentional context engineering, and guides product managers to i(...TRUNCATED)	"Use when AI workflows feel bloated or brittle, produce inconsistent low-quality outputs, have escal(...TRUNCATED)	"Triggers: mediocre AI outputs despite providing large volumes of context, frequent prompt retries r(...TRUNCATED)	AI & Agents	Other	[6.15625,-2.04296875,0.40478515625,0.341064453125,4.18359375,1.115234375,3.171875,2.5859375,-0.57812(...TRUNCATED)	[7.8203125,0.140625,1.0,-1.7509765625,3.46875,1.1181640625,0.40380859375,-0.1895751953125,1.44824218(...TRUNCATED)	[5.08203125,-1.19140625,0.6552734375,0.493896484375,4.34375,1.7529296875,2.548828125,0.1480712890625(...TRUNCATED)	[6.13671875,3.205078125,1.7373046875,1.6591796875,2.990234375,1.6884765625,1.8408203125,0.4658203125(...TRUNCATED)	[3.673828125,2.1015625,-0.030517578125,-1.0068359375,3.814453125,0.35986328125,1.501953125,-0.321044(...TRUNCATED)		deanpeters/product-manager-skills/context-engineering-advisor	497	563	3,000
acquisition-channel-advisor	"Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when dec(...TRUNCATED)	"---\nname: acquisition-channel-advisor\ndescription: Evaluate acquisition channels using unit econo(...TRUNCATED)	deanpeters/product-manager-skills	train	[6.48828125,-1.1943359375,1.951171875,2.39453125,4.55078125,0.97119140625,0.10943603515625,-1.932617(...TRUNCATED)	Acquisition Channel Evaluation	"Evaluates acquisition channels using unit economics, customer quality, scalability, and strategic f(...TRUNCATED)	"Used when making go-to-market marketing budget allocation decisions, comparing performance across m(...TRUNCATED)	"Trigger phrases: 'should we scale our acquisition channel', 'compare our growth channels', 'kill or(...TRUNCATED)	AI & Agents	Evaluation, Safety & Guardrails	[7.42578125,0.58349609375,1.3076171875,3.216796875,4.40234375,0.8544921875,0.828125,-1.244140625,-2.(...TRUNCATED)	[6.015625,-0.2120361328125,2.7265625,-0.5419921875,3.458984375,0.923828125,1.810546875,-0.5268554687(...TRUNCATED)	[6.36328125,0.220703125,0.857421875,0.85107421875,3.818359375,1.9091796875,1.2041015625,-3.39453125,(...TRUNCATED)	[6.23046875,0.685546875,0.12213134765625,2.263671875,3.203125,0.833984375,-1.3212890625,-3.419921875(...TRUNCATED)	[6.10546875,-0.94970703125,-0.04241943359375,1.677734375,3.60546875,1.8466796875,-0.11737060546875,-(...TRUNCATED)		deanpeters/product-manager-skills/acquisition-channel-advisor	470	533	3,000
saas-revenue-growth-metrics	"Calculate SaaS revenue, retention, and growth metrics. Use when diagnosing momentum, churn, expansi(...TRUNCATED)	"---\nname: saas-revenue-growth-metrics\ndescription: Calculate SaaS revenue, retention, and growth (...TRUNCATED)	deanpeters/product-manager-skills	train	[5.80859375,-1.2060546875,1.23046875,1.3251953125,1.0927734375,3.109375,-0.2069091796875,-2.70507812(...TRUNCATED)	SaaS Revenue & Retention Metrics	"Calculates, interprets, and analyzes core SaaS revenue, retention, and growth metrics using standar(...TRUNCATED)	"Used to evaluate SaaS business health, assess product-market fit, identify churn or expansion oppor(...TRUNCATED)	"Triggers: calculating MRR/ARR/churn/NRR for board decks, building SaaS metrics dashboards, analyzin(...TRUNCATED)	Data & Analytics	Statistics, Experiments & Metrics	[8.3515625,-1.720703125,1.7744140625,2.099609375,0.2379150390625,2.40234375,1.6650390625,-2.02734375(...TRUNCATED)	[6.65234375,-3.0234375,1.4267578125,1.205078125,2.720703125,2.546875,0.9462890625,-2.888671875,0.239(...TRUNCATED)	[5.8046875,-1.7294921875,1.4658203125,0.962890625,2.865234375,3.05078125,-0.4287109375,-2.39453125,1(...TRUNCATED)	[6.6640625,-2.32421875,2.1328125,3.263671875,2.91796875,2.583984375,1.064453125,-1.6767578125,-0.577(...TRUNCATED)	[7.02734375,-1.3759765625,-0.081298828125,2.650390625,1.935546875,1.2080078125,2.119140625,-2.048828(...TRUNCATED)	"./template.md\n---\n# SaaS Revenue & Growth Metrics Calculator\n\nUse this template to calculate yo(...TRUNCATED)	deanpeters/product-manager-skills/saas-revenue-growth-metrics	536	617	3,000
epic-hypothesis	"Frame an epic as a testable hypothesis with target user, expected outcome, and validation method. U(...TRUNCATED)	"---\nname: epic-hypothesis\ndescription: Frame an epic as a testable hypothesis with target user, e(...TRUNCATED)	deanpeters/product-manager-skills	train	[5.9921875,-2.4140625,0.703125,2.48828125,0.75146484375,2.078125,-1.9228515625,0.38134765625,-2.3847(...TRUNCATED)	Product Epic Framing	"Converts product epics into testable if/then hypotheses that include target users, proposed actions(...TRUNCATED)	"Use when scoping major new product initiatives before roadmap planning, discovery, or full developm(...TRUNCATED)	"Triggers: New initiative kickoff, roadmap planning, backlog prioritization. Do not use for well-val(...TRUNCATED)	Business & Operations	Product & Requirements	[7.04296875,-1.5986328125,0.634765625,4.52734375,0.70263671875,0.86328125,-0.9794921875,0.2205810546(...TRUNCATED)	[4.0,-3.400390625,-0.42333984375,1.8447265625,0.3544921875,0.0276031494140625,-5.140625,-0.375976562(...TRUNCATED)	[4.74609375,-2.181640625,1.083984375,3.419921875,-0.64208984375,2.1796875,-1.3671875,-0.33740234375,(...TRUNCATED)	[6.8515625,-1.5947265625,0.61328125,3.884765625,2.763671875,1.5615234375,-1.6435546875,0.38354492187(...TRUNCATED)	[7.609375,1.06640625,1.92578125,2.720703125,2.296875,0.9453125,-1.1142578125,-1.9970703125,-2.945312(...TRUNCATED)	"./template.md\n---\n# Epic Hypothesis Template\n\nUse this template to frame an epic as a testable (...TRUNCATED)	deanpeters/product-manager-skills/epic-hypothesis	492	563	3,000
product-sense-interview-answer	"Structure a spoken PM product-sense answer with assumptions, segmentation, pain-point prioritizatio(...TRUNCATED)	"---\nname: product-sense-interview-answer\ndescription: Structure a spoken PM product-sense answer (...TRUNCATED)	deanpeters/product-manager-skills	train	[5.625,-0.57421875,0.299560546875,1.134765625,-0.537109375,0.319580078125,0.72802734375,0.0559997558(...TRUNCATED)	PM Product Sense Interviews	"Structures thoughtful, logically consistent spoken product manager product-sense interview answers (...TRUNCATED)	"Use when practicing or coaching candidates for open-ended product manager product-sense interview q(...TRUNCATED)	"Trigger phrases: 'How would you improve X?', 'Design a product for Y', 'What would you build next f(...TRUNCATED)	Business & Operations	Product & Requirements	[5.58984375,-0.428466796875,1.1806640625,1.087890625,-3.234375,0.90625,1.71484375,-0.88525390625,-4.(...TRUNCATED)	[5.53125,0.486083984375,-2.759765625,0.90087890625,0.4833984375,-0.7265625,-0.0841064453125,0.605957(...TRUNCATED)	[7.6640625,-0.94091796875,-0.9443359375,0.4345703125,0.06878662109375,0.81591796875,0.468017578125,0(...TRUNCATED)	[6.203125,1.1015625,0.1876220703125,2.1171875,1.48828125,-0.82080078125,-0.2861328125,2.13671875,-2.(...TRUNCATED)	[6.00390625,1.369140625,-0.794921875,0.87353515625,0.150146484375,0.40380859375,-0.86279296875,0.621(...TRUNCATED)	"./template.md\n---\n# Product Sense Interview Answer Template\n\nUse this as a fill-in scaffold for(...TRUNCATED)	deanpeters/product-manager-skills/product-sense-interview-answer	5	45	3,000
prd-development	"Build a structured PRD that connects problem, users, solution, and success criteria. Use when turni(...TRUNCATED)	"---\nname: prd-development\ndescription: Build a structured PRD that connects problem, users, solut(...TRUNCATED)	deanpeters/product-manager-skills	train	[2.994140625,-1.884765625,1.25,2.474609375,1.3544921875,-0.050994873046875,-2.05078125,-0.2983398437(...TRUNCATED)	Structured PRD Development	"Guides product managers to build a cohesive, structured PRD integrating problem framing, user resea(...TRUNCATED)	"Use when converting discovery insights and scattered project notes into a cross-functionally aligne(...TRUNCATED)	"Triggers: need PRD for new major feature, post-discovery sprint engineering handoff, cross-function(...TRUNCATED)	Software Engineering	Other	[4.18359375,-1.982421875,1.2685546875,3.984375,1.9775390625,-2.296875,-0.6572265625,-0.4150390625,-4(...TRUNCATED)	[5.00390625,-2.431640625,2.671875,1.8046875,3.017578125,0.1636962890625,-3.78125,-2.634765625,-1.634(...TRUNCATED)	[4.984375,-1.8896484375,-0.25048828125,2.71484375,1.40234375,-0.07806396484375,-2.466796875,-0.64062(...TRUNCATED)	[6.36328125,-0.9921875,-0.340576171875,1.119140625,0.50732421875,2.41796875,-2.037109375,-1.36328125(...TRUNCATED)	[3.701171875,0.4951171875,0.06195068359375,1.7080078125,0.583984375,0.425537109375,-1.19921875,0.183(...TRUNCATED)	"./template.md\n---\n# PRD Template\n\nUse this template to produce a structured Product Requirement(...TRUNCATED)	deanpeters/product-manager-skills/prd-development	837	932	3,000

End of preview. Expand in Data Studio

Claude Skills Dataset

This dataset contains curated SKILL.md files plus generated structured summaries and embeddings.

Columns

name: skill name (from SKILL.md frontmatter)
description: short description (from SKILL.md frontmatter)
full_content: full SKILL.md content (includes frontmatter metadata)
repo: source repository
split: dataset split label
qwen3emb_description: embedding vector for description (float list)
gpt_domain: concise domain label extracted from the skill content
gpt_capability: one-sentence capability summary
gpt_use_case: one-sentence use-case summary
gpt_triggers_constraints: triggers/constraints if present, else empty string
domain_category: broad rule-based category from gpt_domain (tokenized, rule-based)
domain_subcategory: coarse subcategory within domain_category (rule-based; Other fallback)
qwen3emb_full_content: embedding vector for full_content after stripping YAML frontmatter (--- ... ---)
qwen3emb_gpt_domain: embedding vector for gpt_domain
qwen3emb_gpt_capability: embedding vector for gpt_capability
qwen3emb_gpt_use_case: embedding vector for gpt_use_case
qwen3emb_gpt_triggers_constraints: embedding vector for gpt_triggers_constraints
ref_files: inlined reference docs from the skill folder (path + --- + content blocks), may be empty
skills_sh_id: canonical skills.sh id guess ({repo}/{slugified(name)})
skills_sh_total_installs: installs count from skills.sh search index (leaderboard "Installs")
skills_sh_weekly_installs: weekly installs from the skills.sh skill page ("Weekly Installs")
github_stars: GitHub stars shown on the skills.sh skill page (repo-level; repeated across skills in same repo)

Source

Crawled from skills.sh, 2026/04/02. Enriched with skills.sh installs + GitHub stars, 2026/04/06.

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