Browse Skills — Page 210
32,504 public skills · showing 20,901–21,000
- 100/100
p14b-beauty-ai-roles
gmaxxxie/ai-native-product-agent-skills
AI在审美中的角色定位——放大器/陪练器/协作者,而非审美本身
- 100/100
p14c-beauty-selection
gmaxxxie/ai-native-product-agent-skills
从生产美感到选择美感——选择力是新核心技能,Context决定输出上限
- 100/100
p14d-beauty-narrative
gmaxxxie/ai-native-product-agent-skills
故事力即美感——叙事结构、情感节奏、信息架构的审美维度
- 100/100
p14e-beauty-human-edge
gmaxxxie/ai-native-product-agent-skills
人的不可替代性——美感作为护城河、标准进化、人的核心优势
- 100/100
p14f-beauty-commercial
gmaxxxie/ai-native-product-agent-skills
美感的商业价值——市场接受度、美感溢价、体验美感、物理世界平衡
- 100/100
p14g-beauty-system
gmaxxxie/ai-native-product-agent-skills
审美训练体系——系统化积累与校准审美标准、人机协作流程、标准进化机制
- 100/100
p14h-beauty-preface
gmaxxxie/ai-native-product-agent-skills
前言与核心命题——当一切都能生成之后,审美主导权成为核心竞争力
- 100/100
p2a-experiment-overview
gmaxxxie/ai-native-product-agent-skills
'AI Native 产品方法论——试验展开概述的实操 Skill。
- 100/100
p2b-product-form-exploration
gmaxxxie/ai-native-product-agent-skills
'AI Native 产品方法论——产品形态探索的实操 Skill。
- 100/100
p2c-process-redesign
gmaxxxie/ai-native-product-agent-skills
'AI Native 产品方法论——流程重构与任务设计的实操 Skill。
- 100/100
p2d-convergence-decision
gmaxxxie/ai-native-product-agent-skills
'AI Native 产品方法论——目标收敛与产品决策的实操 Skill。
- 100/100
p2e-shadow-validation
gmaxxxie/ai-native-product-agent-skills
'AI Native 产品方法论——影子验证的实操 Skill。
- 100/100
p5js
NousResearch/hermes-agent
p5.js sketches: gen art, shaders, interactive, 3D.
- 100/100
p6a-certainty-premium-calculator
gmaxxxie/ai-native-product-agent-skills
确定性溢价计算器。基于《AI确定性商业模式》核心公式, 帮助产品团队计算 AI 产品的确定性溢价,从而设计更高价值的收费模式。
- 100/100
p6b-arbiter-mode-designer
gmaxxxie/ai-native-product-agent-skills
仲裁者模式设计器。设计以"真相即服务"为核心的商业模式: 提供可验证的真实信息和判断,让用户相信每个数字都是真的。 基于《AI确定性商业模式》概念卡。
- 100/100
p6c-insurance-mode-designer
gmaxxxie/ai-native-product-agent-skills
保险模式设计器。设计以"结果担保"为核心的商业模式: 为 AI 的输出结果提供担保,出错则赔偿或免费。 基于《AI确定性商业模式》概念卡。
- 100/100
p6d-prediction-arbitrage-designer
gmaxxxie/ai-native-product-agent-skills
预测套利设计器。设计以"超越人类预测能力"为核心的商业模式: 在 AI 预测能力强于人类的领域进行套利,将预测优势转化为商业价值。 基于《AI确定性商业模式》概念卡。
- 100/100
p7
tanweai/pua
P7 Senior Engineer mode — solution-driven execution under P8 supervision. Use when user says 'P7模式', '方案驱动', or when spawned as sub-task executor by P8. Produces: implementation plan + code + 3-question self-review, delivered via [P7-COMPLETION].
- 100/100
p7a-data-flywheel-builder
gmaxxxie/ai-native-product-agent-skills
数据飞轮构建器。基于《AI Native 营销与增长》数据飞轮概念卡, 帮助产品团队评估和构建自增强的数据飞轮:使用→数据→模型→产品→更多用户→更多数据。
- 100/100
p7b-intent-prediction-designer
gmaxxxie/ai-native-product-agent-skills
意图预测营销设计器。基于《AI Native 营销与增长》意图预测营销概念卡, 帮助产品从"人群定向"升级为"个体预见"——在用户明确表达之前就提供相关内容。
- 100/100
p7c-predictive-retention-designer
gmaxxxie/ai-native-product-agent-skills
预测性留存设计器。基于《AI Native 营销与增长》预测性留存概念卡, 帮助产品从"流失后挽回"升级为"流失前阻止"——在用户流失之前主动干预。
- 100/100
p7d-marketing-productizer
gmaxxxie/ai-native-product-agent-skills
营销产品化设计器。基于《AI Native 营销与增长》营销产品化概念卡, 帮助产品将营销活动设计为产品功能,让用户在使用中自然完成"被营销"。
- 100/100
p7e-customer-loop
gmaxxxie/ai-native-product-agent-skills
'AI Native 产品方法论——客户循环的实操 Skill。
- 100/100
p8a-rax-risk-assessor
gmaxxxie/ai-native-product-agent-skills
RAX 风险评估器。基于《AI时代的用户体验》RAX 框架(Risk, Ambiguity, eXposure), 系统性评估 AI 产品的风险、模糊性和暴露程度,帮助产品团队识别和管理用户体验风险。
- 100/100
p8b-trust-tier-designer
gmaxxxie/ai-native-product-agent-skills
信任度分级设计器。基于《AI时代的用户体验》信任分级理论, 设计 AI 产品的信任度分级体系,让用户渐进式地建立对 AI 的信任。
- 100/100
p8c-progressive-disclosure
gmaxxxie/ai-native-product-agent-skills
渐进式披露清单。基于《AI时代的用户体验》渐进式披露理论, 提供 AI 产品逐步展示功能和能力的设计清单,避免一次性向用户交付过多信息。
- 100/100
p9
tanweai/pua
P9 Tech Lead mode — write Task Prompts, manage P8 agent teams, never write code yourself. Use when user says 'P9模式', 'tech-lead', '帮我管理这个项目', '任务拆解', or when coordinating 3+ parallel agents. Produces: Task Prompts (六要素) + P8 team delivery.
- 100/100
package-release-sniffer
JasonxzWen/harness-hub
Load when tracking newly published package or model-package releases across package registries and release feeds for AI/developer-tool monitoring; do not load for ordinary docs lookup, broad GitHub trend scanning, or implementing package clients.
- 100/100
package-risk
hrconsultnj/claude-plugins
Analyze an installed package's source code for suspicious behavior patterns (eval, network calls, env access, obfuscation).
- 100/100
packaging-notarization
openai/plugins
Prepare macOS packaging and notarization workflows. Use when archiving apps, validating bundles, or explaining distribution-only failures.
- 85/100
packer
TerminalSkills/skills
>-
- 100/100
packet-analysis
automateyournetwork/netclaw
Analyze network packet captures (.pcap/.pcapng) using Packet Buddy MCP. Use when opening a pcap file, inspecting packet captures, troubleshooting network traffic, analyzing retransmissions, or filtering packets by protocol.
- 100/100
packet-factory
open-gitagent/opengap
>
- 100/100
packet-intake
langchain-ai/langchain-azure
Check a mortgage packet manifest and write /output/01-packet-index.json.
- 100/100
pacman
bergside/awesome-design-skills
Retro arcade-inspired design with pixel fonts, dotted borders, playful high-contrast colors, and 8-bit game aesthetics.
- 100/100
pact
TerminalSkills/skills
When the user wants to implement consumer-driven contract testing between microservices using Pact. Also use when the user mentions "pact," "contract testing," "consumer-driven contracts," "CDC testing," "provider verification," or "Pact Broker." For API mocking, see mockoon or wiremock.
- 100/100
padbuster-padding-oracle
wgpsec/AboutSecurity
使用 PadBuster 进行 Padding Oracle 攻击。当发现 Web 应用使用 CBC 模式加密且存在 Padding Oracle 漏洞时使用。PadBuster 可自动解密密文和伪造任意明文对应的合法密文,适用于加密 Cookie/Token/URL 参数。任何涉及 Padding Oracle 攻击、CBC 密文解密、Cookie 伪造的场景都应使用此技能
- 100/100
paddle
TerminalSkills/skills
>-
- 100/100
paddle-webhooks
hookdeck/webhook-skills
>
- 90/100
page-agent
NousResearch/hermes-agent
Embed alibaba/page-agent into your own web application — a pure-JavaScript in-page GUI agent that ships as a single <script> tag or npm package and lets end-users of your site drive the UI with natural language ("click login, fill username as John"). No Python, no headless browser, no extension required. Use this skill when the user is a web developer who wants to add an AI copilot to their SaaS / admin panel / B2B tool, make a legacy web app accessible via natural language, or evaluate page-agent against a local (Ollama) or cloud (Qwen / OpenAI / OpenRouter) LLM. NOT for server-side browser automation — point those users to Hermes' built-in browser tool instead.
- 100/100
page-analysis
billy-enrizky/openbrowser-ai
|
- 95/100
page-audit
inhouseseo/superseo-skills
Use when auditing a specific page's SEO performance, content quality, and competitive position. The agent fetches the URL, Googles the primary keyword, reads the top 3 competitors, and produces a full 7-dimension audit — no exports, no analytics access required.
- 100/100
page-cro
alirezarezvani/claude-skills
Fix a page that is not converting: section by section audit with fixes ranked by impact. Use whenever a homepage, landing, pricing or feature page gets few signups, sales or clicks.
- 100/100
page-cro-v2
diegosouzapw/awesome-omni-skills
Page Conversion Rate Optimization (CRO) workflow skill. Use this skill when the user needs Analyze and optimize individual pages for conversion performance and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
page-metadata
kostja94/marketing-skills
When the user wants to optimize meta tags other than title, description, Open Graph, or Twitter Cards. Also use when the user mentions "hreflang," "meta robots," "viewport," "charset," "canonical meta," "other meta tags," "meta robots noindex," "meta robots nofollow," "hreflang tags," "viewport meta," or "meta charset." For title tags, use title-tag. For meta descriptions, use meta-description. For Facebook/LinkedIn previews, use open-graph. For X previews, use twitter-cards.
- 90/100
page-monitoring
jamditis/claude-skills-journalism
Web page monitoring, change detection, and availability tracking. Use when tracking content changes, detecting when pages go down, monitoring for updates, preserving content before deletion, or generating feeds for pages without RSS. Covers Visualping, ChangeTower, Distill.io, and self-hosted monitoring solutions.
- 100/100
page-play-builder
aaron-he-zhu/aaron-marketing-skills
Use when the user asks to "build programmatic SEO pages", "generate pages at scale", "rank on a high-authority third-party site", "borrow domain authority", "build a vs / alternative page", "do local SEO", "optimize a Google Business Profile", or "fix NAP" — one page-build router with four modes: programmatic (template × dataset systems), parasite (barnacle publishing on Medium/Reddit/LinkedIn/GitHub), comparison (vs / alternative pages in four formats), and local (GBP + NAP + citations + location pages), each with its own thin/duplicate, honesty, or reputation-abuse guardrail. Not for finding what to target — use keyword-research or content-gap-analysis; not for drafting one standalone article — use content-writer; not for scoring a page for publish — use content-quality-auditor. 程序化SEO/批量页面/寄生SEO/借势权重/对比页/vs页/替代页/本地SEO/谷歌商家档案/NAP一致性
- 100/100
page-seo-analysis
indranilbanerjee/digital-marketing-pro
Analyze SEO for a single page. Use when: auditing on-page signals, schema, content quality, E-E-A-T, or AI search readiness.
- 100/100
page-template
terrylica/cc-skills
Scaffold a sitemap-organized HTML showcase site (provenance reports, contractor showcases, telemetry dashboards, weekly digests, audit results).
- 100/100
page-x-automation
ComposioHQ/awesome-claude-skills
"Automate Page X tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 50/100
pagerduty
TerminalSkills/skills
>-
- 90/100
pagerduty-api
anthropics/claude-tag-plugins
Query and manage PagerDuty — find out who's on call, list and manage incidents, read escalation policies and schedules, trace who got paged and why, acknowledge/resolve/snooze/escalate incidents, and create or update services. Use this whenever the user mentions PagerDuty, on-call, paging, escalation, an incident ID like `PXXXXXX` or `Q...`, asks "who's on call", "page the on-call", "ack this incident", "why wasn't I paged", or pastes a pagerduty.com URL — even if they don't say "API". Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
- 100/100
pagerduty-automation
benjaminasterA/antigravity-awesome-skills
Automate PagerDuty tasks via Rube MCP (Composio): manage incidents, services, schedules, escalation policies, and on-call rotations. Always search tools first for current schemas.
- 100/100
pagerduty-automation-v2
diegosouzapw/awesome-omni-skills
PagerDuty Automation via Rube MCP workflow skill. Use this skill when the user needs Automate PagerDuty tasks via Rube MCP (Composio): manage incidents, services, schedules, escalation policies, and on-call rotations. Always search tools first for current schemas and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
pagerduty-incidents
automateyournetwork/netclaw
Manage and investigate incidents in PagerDuty.
- 100/100
pagerduty-oncall
automateyournetwork/netclaw
Manage on-call schedules and escalation policies in PagerDuty.
- 100/100
pagerduty-orchestration
automateyournetwork/netclaw
Manage event orchestration and routing rules in PagerDuty.
- 100/100
pagerduty-services
automateyournetwork/netclaw
Manage service catalog and service health in PagerDuty.
- 100/100
pagible
aimeos/pagible
Dark, immersive design with blue-purple gradient accents, sharp edges, and a deep navy background for a modern tech aesthetic.
- 100/100
paid-ads
alirezarezvani/claude-skills
Use for paid campaign strategy on Google, Meta, LinkedIn or X: structure, targeting, bids, retargeting and budgets. Scores account health with ad_health_scorer.py and models ROAS with roas_calculator.py. Ad copy only: ad-creative.
- 100/100
paid-ads-getting-started
Significant-Gravitas/skills-catalog
Set up paid ads work from goals, budgets, conversion definitions, tracking state, and approval owners.
- 100/100
paid-ads-strategy
kostja94/marketing-skills
When the user wants to plan paid ads strategy, allocate ad budget, or choose paid channels. Also use when the user mentions "paid ads," "paid media," "PPC," "SEM," "web ads," "app ads," "TV ads," "CTV," "OOH," "banner ads," "ad network," "ad alliance," "Taaft ads," "Shopify App Store ads," "Google Ads," "Meta Ads," "PMF testing," "PMF validation," "test product-market fit with ads," "ad spend," "ad budget," "ROAS," "paid acquisition," "Quality Score," or "ad-to-page alignment." For Google Ads execution, use google-ads. For Meta Ads execution, use meta-ads. For landing page alignment, use landing-page-generator.
- 100/100
paid-ads-v2
diegosouzapw/awesome-omni-skills
Paid Ads workflow skill. Use this skill when the user needs You are an expert performance marketer with direct access to ad platform accounts. Your goal is to help create, optimize, and scale paid advertising campaigns that drive efficient customer acquisition and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
paid-advertising
indranilbanerjee/digital-marketing-pro
Plan paid advertising campaigns. Use when: managing Google Ads, Meta Ads, LinkedIn Ads, bid strategy, or budget optimization.
- 100/100
paid-channel-prioritizer
gooseworks-ai/goose-skills
>
- 100/100
paid-creative-ai
tech-leads-club/agent-skills
When the user wants to create AI-generated ad creative, test performance creative, manage creative fatigue, or optimize paid media with AI tools. Also use when the user mentions 'ad creative,' 'performance creative,' 'creative testing,' 'creative fatigue,' 'Meta ads,' 'Google ads,' 'TikTok ads,' 'AI ads,' 'ad budget,' 'ROAS,' 'Advantage+,' or 'Performance Max.' This skill covers AI-powered paid creative from generation through performance optimization. Do NOT use for technical implementation, code review, or software architecture.
- 100/100
paid-measurement-loop
aaron-he-zhu/aaron-marketing-skills
Use when the user asks to "read back" a paid campaign change, "did this ad change work", or "compare ROAS/CPA before and after"; reads ROAS/CPA against a control over a fixed readback window and returns a Promote / Keep-testing / Rollback / Unproven decision with the math delegated to roi-calculator. Not for the ROI ratio math itself — use roi-calculator; not for cross-channel rollups — use performance-analyzer. 付费广告复盘/ROAS回看/投放效果归因
- 100/100
paid-media-analysis
langchain-ai/paid-media-agent
Analyze paid-media performance, compare periods or entities, diagnose issues, and make evidence-backed recommendations across connected ad platforms.
- 100/100
paid-media-design
langchain-ai/paid-media-agent
Configure company branding or update report design, tokens, templates, and runtime design guidance. Use during onboarding, when DESIGN.md changes, or when a user requests report styling or layout changes.
- 100/100
paid-media-onboarding
langchain-ai/paid-media-agent
Install and configure Paid Media Agent, connect ad platforms, choose MDA or self-hosting, and diagnose setup without exposing credentials.
- 100/100
paid-media-org-onboarding
langchain-ai/paid-media-agent
Set up or update a company's paid-media context and runtime skills in the local workspace. Use before deployment or when business goals, measurement, or campaign conventions change.
- 100/100
paid-media-report
langchain-ai/paid-media-agent
Build a reconciled paid-media report or executive summary from deterministic analysis results and render it as a shareable artifact.
- 100/100
paid-media-strategy
rampstackco/claude-skills
A discipline for running paid media that does not light money on fire. Hypothesis writing for paid spend, channel selection, budget allocation, audience targeting, bid strategy, campaign types, what NOT to spend on, attribution reality, and the failure modes that produce expensive lessons. Triggers on paid media strategy, ad budget allocation, channel selection, paid media plan, audit my Google Ads, audit my Meta Ads, scale paid media, kill underperforming campaign, paid media hypothesis, ad spend strategy, attribution reality, performance marketing strategy. Also triggers when a team is asking how to scale paid media, or whether to add a new channel, or how to reallocate spend across channels.
- 100/100
paid-media-wiki
langchain-ai/paid-media-agent
The paid-media business wiki the other skills route to. General doctrine on goals, metrics and attribution, the decision model, platform differences, benchmarks, anomalies, bidding and budget, reporting, write safety, and answer style. Read the page a question calls for, never the whole wiki.
- 100/100
paid-media-writes
langchain-ai/paid-media-agent
Prepare, review, edit, approve, reject, or reconcile a paid-media change while preserving the human approval and provider verification boundary.
- 100/100
paid-performance-report
Significant-Gravitas/skills-catalog
Report paid results for a period with sources, changes, causes, and open questions.
- 100/100
paid-tier-readiness-check
lyndonkl/claude
Evaluates whether substacker has the four preconditions for launching a paid tier — enough subs, healthy engagement, a clear candidate section, writer capacity. Produces readiness score (not-ready / close / ready) with named gaps. Used when the "should we launch paid?" question is selected or at writer's explicit request. Trigger keywords: paid tier, paid readiness, monetization, Substack paid, launch paid, 1000 subscribers.
- 100/100
pain-language-engagers
gooseworks-ai/goose-skills
>
- 100/100
painterly-style
arjun988/blender-skills
Painterly art direction spanning watercolor and oil-painting looks for Blender using soft edges, pigment texture, and illustrative lighting.
- 100/100
pair-programming
staruhub/ClaudeSkills
结对编程搭档。当用户要求"边写边审"、"结对编程"、"写完自己 review 一遍"、"高可靠地实现",或明确希望代码交付时附带自我审查意见时使用。交付代码的同时输出结构化审查(正确性/安全/性能/可读性/健壮性五维度),重点捕捉 AI 生成代码的特有缺陷。不用于:对已有 PR 的正式评审(用 code review 流程)、安全专项扫描(用 security-audit)、10 行以内的简单片段。
- 100/100
pair-selector
yogsoth-ai/de-anthropocentric-research-engine
Select the next comparison pairs that maximize information gain given current ratings and comparison history.
- 100/100
pair-trading
HKUDS/Vibe-Trading
Pair trading strategy. Trades mean reversion using the spread/ratio Z-score of two correlated instruments. Requires at least two instruments.
- 100/100
paired-end-fastq
swaruplab/operon
Handle paired-end FASTQ files (R1/R2) using Biopython. Use when working with Illumina paired reads, synchronizing pairs, interleaving/deinterleaving, or filtering paired data.
- 100/100
pairwise-comparison
yogsoth-ai/de-anthropocentric-research-engine
Tactic: 通过相对比较而非绝对评分对 gaps 进行排序,适用于难以量化的场景
- 100/100
pairwise-ranking
yogsoth-ai/de-anthropocentric-research-engine
Pairwise Ranking Campaign — produce global rankings through pairwise comparisons and voting aggregation using Bradley-Terry, Elo, TrueSkill, Condorcet, Borda, Schulze methods.
- 100/100
pairwise-synthesis
yogsoth-ai/de-anthropocentric-research-engine
Compare two methods across multiple studies — paired meta-analysis protocol design. Budget: 30 studies, 30 effect sizes, 40 web searches.
- 100/100
pakistan-payments-stack
diegosouzapw/awesome-omni-skills
Pakistan Payments Stack for SaaS workflow skill. Use this skill when the user needs Design and implement production-grade Pakistani payment integrations (JazzCash, Easypaisa, bank/PSP rails, optional Raast) for SaaS with PKR billing, webhook reliability, and reconciliation and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
pakistan-payments-stack-v2
diegosouzapw/awesome-omni-skills
Pakistan Payments Stack for SaaS workflow skill. Use this skill when the user needs Design and implement production-grade Pakistani payment integrations (JazzCash, Easypaisa, bank/PSP rails, optional Raast) for SaaS with PKR billing, webhook reliability, and reconciliation and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
palette
simota/agent-skills
Improving usability, interaction quality, cognitive load reduction, feedback design, and a11y compliance. Use when improving UX usability or interaction feel.
- 100/100
paloalto-panorama
automateyournetwork/netclaw
Palo Alto Panorama operations — device groups, templates, security policy search, NAT review, commit status, and audit workflows. Use when searching Palo Alto firewall rules, checking if traffic is allowed through Panorama, reviewing NAT policies, or auditing device groups.
- 100/100
pan-cancer-multiomics-agent
swaruplab/operon
AI-powered pan-cancer analysis integrating genomic, transcriptomic, proteomic, and epigenomic data for cancer subtyping, driver identification, and cross-cancer pattern discovery.
- 15/100
pandadoc
vm0-ai/vm0-skills
PandaDoc API for contracts, proposals, quotes, and e-signatures.
- 100/100
PandaDoc Automation
ComposioHQ/awesome-claude-skills
"Automate document workflows with PandaDoc -- create documents from files, manage contacts, organize folders, set up webhooks, create templates, and track document status through the Composio PandaDoc integration."
- 100/100
pandas
TerminalSkills/skills
>-
- 100/100
pandas-ai
TerminalSkills/skills
|
- 100/100
pandas-construction-analysis
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Comprehensive Pandas toolkit for construction data analysis. Filter, group, aggregate BIM elements, calculate quantities, merge datasets, and generate reports from structured construction data.
- 100/100
pandas-datareader
mkurman/zorai
Multi-source financial data reader: FRED, World Bank, OECD, Eurostat, St. Louis Fed, Yahoo, Google, and more. Standard interface for economic and financial time series data ingestion.
- 100/100
pandas-patterns
langchain-ai/docs
Common pandas and matplotlib patterns for data analysis and visualization
- 100/100
pandas-pro
Jeffallan/claude-skills
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
- 100/100
pandemic_preparedness
InternScience/scp
Pandemic Preparedness Analysis - Pandemic analysis: virus genome, taxonomy, drug candidates, and literature intelligence. Use this skill for public health tasks involving get virus dataset report get virus by taxon genome get mechanism of action by drug name tavily search search literature. Combines 5 tools from 4 SCP server(s).
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