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analyzing-projects

Guides systematic project analysis, codebase exploration, and architecture pattern recognition. Use when understanding new codebases, onboarding to projects, or investigating system structure.

majiayu000
majiayu000
11819

analyzing-pricing

Analyzes pricing strategies, competitive pricing benchmarks, pricing models, value metrics, and willingness-to-pay to optimize pricing and positioning. Use when the user requests pricing analysis, competitive pricing comparison, pricing strategy, pricing model evaluation, or wants to optimize pricing decisions.

majiayu000
majiayu000
11819

analyzing-patterns

Automatically activated when user asks to "find patterns in...", "identify repeated code...", "analyze the architecture...", "what design patterns are used...", or needs to understand code organization, recurring structures, or architectural decisions

majiayu000
majiayu000
11819

analyzing-nft-rarity

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majiayu000
majiayu000
11819

analyzing-new-energy-trucks

分析新能源货车保险业务数据,识别高风险机构和业务类型。在处理新能源货车承保数据、风险评估报告或制定承保策略时使用。

majiayu000
majiayu000
11819

analyzing-network-latency

Analyze network latency and optimize request patterns for faster communication. Use when diagnosing slow network performance or optimizing API calls. Trigger with phrases like "analyze network latency", "optimize API calls", or "reduce network delays".

majiayu000
majiayu000
11819

analyzing-mempool

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majiayu000
majiayu000
11819

analyzing-meetings

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majiayu000
majiayu000
11819

analyzing-market-sentiment

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majiayu000
majiayu000
11819

analyzing-logs

Analyze application logs for performance insights and issue detection including slow requests, error patterns, and resource usage. Use when troubleshooting performance issues or debugging errors. Trigger with phrases like "analyze logs", "find slow requests", or "detect error patterns".

majiayu000
majiayu000
11819

analyzing-liquidity-pools

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majiayu000
majiayu000
11819

analyzing-innovation-portfolio

Analyze the CustomGPT.ai Labs Innovation workbook and cost tracking data to surface portfolio-level insights, trends, and recommendations for where to focus Innovation efforts.

majiayu000
majiayu000
11819

analyzing-implementations

Documents HOW code works with surgical precision - traces data flow, explains implementation details, provides file:line references. Purely documentarian, no critiques or suggestions for improvement.

majiayu000
majiayu000
11819

analyzing-git-sessions

Analyzes git commits and changes within a timeframe or commit range, providing structured summaries for code review, retrospectives, work logs, or session documentation.

majiayu000
majiayu000
11819

analyzing-funding-landscape

Analyzes venture capital, investment trends, funding rounds, investor strategies, M&A activity, and funding patterns in specific markets or industries. Use when the user requests funding analysis, VC landscape research, investment trend analysis, or wants to understand investor activity and funding dynamics.

majiayu000
majiayu000
11819

analyzing-financial-statements

This skill calculates key financial ratios and metrics from financial statement data for investment analysis

majiayu000
majiayu000
11819

analyzing-feature-implementations

Analyzes an existing software feature implementation.

majiayu000
majiayu000
11819

analyzing-docs

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majiayu000
majiayu000
11819

analyzing-dependencies

Analyze dependencies for known security vulnerabilities and outdated versions. Use when auditing third-party libraries. Trigger with 'check dependencies', 'scan for vulnerabilities', or 'audit packages'.

majiayu000
majiayu000
11819

Analyzing Problems Deeply

Performs deep structured analysis on complex or ambiguous problems. Activates when problems are unclear, have multiple perspectives, or require careful thinking before proceeding. Uses ultrathink methodology for systematic exploration of problem space.

majiayu000
majiayu000
11819

analyzing-database-indexes

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majiayu000
majiayu000
11819

analyzing-data

Queries data warehouse and answers business questions about data. Handles questions requiring database/warehouse queries including "who uses X", "how many Y", "show me Z", "find customers", "what is the count", data lookups, metrics, trends, or SQL analysis.

majiayu000
majiayu000
11819

analyzing-customers

Analyzes customer behavior, needs, pain points, and sentiment through review mining, social listening, buyer persona development, and jobs-to-be-done framework. Use when the user requests customer analysis, voice of customer research, buyer personas, pain point analysis, or wants to understand customer needs and motivations.

majiayu000
majiayu000
11819

analyzing-crypto-weakness

Identifies weak cryptographic algorithms, hardcoded keys, and insecure key management practices in binary code. Use when analyzing encryption/decryption, authentication mechanisms, or reviewing cryptographic implementations.

majiayu000
majiayu000
11819

analyzing-component-quality

Expert at analyzing the quality and effectiveness of Claude Code components (agents, skills, commands, hooks). Assumes component is already technically valid. Evaluates description clarity, tool permissions, auto-invoke triggers, security, and usability to provide quality scores and improvement suggestions.

majiayu000
majiayu000
11819

analyzing-codebases

Generates LLM-optimized code context with function call graphs, side effect detection, and incremental updates. Processes JavaScript/TypeScript codebases to create compact semantic representations including multi-level summaries, entry point identification, and hash-based change tracking. Provides 74-97% token reduction compared to reading raw source files. Useful for understanding code architecture, debugging complex systems, reviewing pull requests, and onboarding to unfamiliar projects.

majiayu000
majiayu000
11819

analyzing-capacity-planning

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majiayu000
majiayu000
11819

notion-knowledge-capture

Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriately, and saves to wikis or databases with proper organization and linking for easy discovery.

majiayu000
majiayu000
11819

Security Specialist

专注于应用安全、认证授权与合规性。

majiayu000
majiayu000
11819

AI Engineer

专注于 LLM 应用开发,涵盖 RAG 和 LangChain 架构。

majiayu000
majiayu000
11819

Operations & Growth Expert

专注于内容创作(文案、运营稿件)、运营数据分析、以及营销活动策划与设置。帮助项目实现从“可用”到“好用”及“增长”的闭环。

majiayu000
majiayu000
11819

lead-research-assistant

Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.

majiayu000
majiayu000
11819

alignment-level-QC

Calculates technical mapping statistics for any aligned BAM file (ChIP or ATAC). It assesses the performance of the aligner itself by generating metrics on read depth, mapping quality, error rates, and read group data using samtools and Picard.Use this skill to check "how well the reads mapped" or to validate BAM formatting/sorting before further processing. Do NOT use this skill for biological signal validation (like checking for peaks or open chromatin) or for filtering/removing reads.

majiayu000
majiayu000
11819

clarity

Establish clarity before starting work. Use when beginning any significant task, when input is vague or stream-of-consciousness, or when requirements seem unclear. Handles messy voice input efficiently. This is the first system in the 5-system framework.

majiayu000
majiayu000
11819

chaos-spawn-1767390340

🍆👾 CHAOS SPAWN - Maximum jank energy skill generated from pure chaos

majiayu000
majiayu000
11819

differential-methylation

This skill performs differential DNA methylation analysis (DMRs and DMCs) between experimental conditions using WGBS methylation tracks (BED/BedGraph). It standardizes input files into per-sample four-column Metilene tables, constructs a merged methylation matrix, runs Metilene for DMR detection, filters the results, and generates quick visualizations.

majiayu000
majiayu000
11819

21-understand-research-150

[21] UNDERSTAND. Deep research workflow for this project using 150% scope (100% core + 50% boundary), evidence-based reasoning, and structured investigation notes. Use when the task requires investigation, root-cause analysis, or mapping unknown areas. Always maintain a research log file that captures findings, hypotheses, and next branches; use web.run when external verification is needed.

majiayu000
majiayu000
11819

local-methylation-profile

This skill analyzes the local DNA methylation profiles around target genomic regions provide by user. Use this skill when you want to vasulize the average methylation profile around target regions (e.g. TSS, CTCF peak or other target regions).

majiayu000
majiayu000
11819

22-understand-deep-150

[22] UNDERSTAND. Deep research from all sources — internal (code, git, logs) AND external (web, docs, best practices). Use when choosing libraries, investigating solutions, understanding legal/technical questions, comparing approaches, or anytime you need comprehensive knowledge from both project context and world knowledge. Triggers on \"research\", \"investigate\", \"find best approach\", \"what do others do\", \"compare options\", or complex questions requiring multiple sources.

majiayu000
majiayu000
11819

integrative-DMR-DEG

This skill performs correlation analysis between differential methylation and differential gene expression, identifying genes with coordinated epigenetic regulation. It provides preprocessing and integration workflows, using promoter-level methylation–expression relationships.

majiayu000
majiayu000
11819

23-understand-ask-ai-150

[23] UNDERSTAND. Consult external AI models when internal sources are exhausted. Build quality prompts using Prompt150 formula (Context + Query + Method + Style). Use when Loop150 exhausts internal sources, need real-world precedents, confidence <75%, or require reasoning from specialized AI models.

majiayu000
majiayu000
11819

global-methylation-profile

This skill performs genome-wide DNA methylation profiling. It supports single-sample and multi-sample workflows to compute methylation density distributions, genomic feature distribution of the methylation profile, and sample-level clustering/PCA. Use it when you want to systematically characterize global methylation patterns from WGBS or similar per-CpG methylation call files.

majiayu000
majiayu000
11819

methylation-variability-analysis

This skill provides a complete and streamlined workflow for performing methylation variability and epigenetic heterogeneity analysis from whole-genome bisulfite sequencing (WGBS) data. It is designed for researchers who want to quantify CpG-level variability across biological samples or conditions, identify highly variable CpGs (HVCs), and explore epigenetic heterogeneity.

majiayu000
majiayu000
11819

UMR-LMR-PMD-detection

This pipeline performs genome-wide segmentation of CpG methylation profiles to identify Unmethylated Regions (UMRs), Low-Methylated Regions (LMRs), and Partially Methylated Domains (PMDs) using whole-genome bisulfite sequencing (WGBS) methylation calls. The pipeline provides high-resolution enhancer-like LMRs, promoter-associated UMRs, and large-scale PMDs characteristic of reprogramming, aging, or cancer methylomes, enabling integration with chromatin accessibility, TF binding, and genome architecture analyses.

majiayu000
majiayu000
11819

correlation-methylation-epiFeatures

This skill provides a complete pipeline for integrating CpG methylation data with chromatin features such as ATAC-seq signal, H3K27ac, H3K4me3, or other histone marks/TF signals.

majiayu000
majiayu000
11819

notion-meeting-intelligence

Prepares meeting materials by gathering context from Notion, enriching with Claude research, and creating both an internal pre-read and external agenda saved to Notion. Helps you arrive prepared with comprehensive background and structured meeting docs.

majiayu000
majiayu000
11819

atac-footprinting

This skill performs transcription factor (TF) footprint analysis using TOBIAS on ATAC-seq data. It corrects Tn5 sequence bias, quantifies TF occupancy at motif sites, generates footprint scores, and optionally compares differential TF binding across conditions.

majiayu000
majiayu000
11819

regulatory-community-analysis-ChIA-PET

This skill performs protein-mediated regulatory community analysis from ChIA-PET datasets and provide a way for visualizing the communities. Use this skill when you have a annotated peak file (in BED format) from ChIA-PET experiment and you want to identify the protein-mediated regulatory community according to the BED and BEDPE file from ChIA-PET.

majiayu000
majiayu000
11819

obsidian-markdown

Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.

majiayu000
majiayu000
11819

2agent

Configures 2-Agent workflow between PM and implementation roles. Use when user mentions 2-Agent setup, PM coordination, Cursor setup, or 2-agent operations. Do NOT load for: solo operation, workflow execution, or handoff processing.

majiayu000
majiayu000
11819

Page 487 of 1484 · 74167 results

Adoption

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FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.