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Claude Code Marketplaces

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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
notedit avatar

Feature Dev

notedit/happy-skills
510 installs340 stars
Summary

This is the methodical approach to feature work: it forces you to explore the codebase first, ask clarifying questions before writing any code, compare architectural approaches, then implement with testing baked in. The structure is opinionated about sequence (discovery, exploration, questions, design, implementation, testing, review) and leans heavily on parallel agents for code exploration, architecture design, and review. It's built for when you're adding something substantial to an unfamiliar codebase and want guardrails against the usual mistakes like assuming requirements or skipping edge cases. The clarifying questions phase is explicitly non-skippable, which will either save you or annoy you depending on how well-specified your features usually are.

Install to Claude Code

npx -y skills add notedit/happy-skills --skill feature-dev --agent claude-code

Installs into .claude/skills of the current project.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
Files
SKILL.md

Select a file.

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
Categories
Testing & QAGit & Pull RequestsCode Review & QualityDesign & UI/UX
First SeenJun 3, 2026
View on GitHub

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longbridge avatar
longbridge-company-tearsheet

longbridge/skills

Company tear sheet / one-pager via Longbridge Securities — generates a high-density 1–2 page company snapshot: business overview, key financials (revenue / net income / EPS / ROE), valuation multiples (PE / PB / EV-EBITDA), price performance, major shareholders, and recent catalysts. Triggers: "公司单页", "公司快照", "公司简报", "公司画像", "一页纸分析", "公司概要", "股票简报", "公司單頁", "公司快照", "公司簡報", "公司畫像", "一頁紙分析", "company tearsheet", "company profile", "company snapshot", "one-pager", "company brief", "stock summary", "company factsheet".
509
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longbridge avatar
longbridge-correlation

longbridge/skills

Multi-asset correlation and cointegration analysis via Longbridge Securities — computes Pearson / Spearman return correlation matrix for 2–10 symbols, rolling 60-day correlation, Engle-Granger cointegration (ADF unit root), and spread half-life (AR(1) estimate). Used for portfolio decorrelation and pairs-trading pre-screening. Triggers: "相关性", "协整", "相关系数", "相关矩阵", "滚动相关", "去相关", "多标的相关", "相關性", "協整", "相關係數", "相關矩陣", "滾動相關", "去相關", "correlation", "cointegration", "correlation matrix", "rolling correlation", "Pearson", "Spearman", "decorrelation", "multi-asset correlation", "ADF test", "相关分析", "相關分析", "pairwise correlation".
509
47
longbridge avatar
longbridge-investors

longbridge/skills

SEC 13F fund-manager–centric view via Longbridge — top-50 active institutional investors by AUM, a specific manager's full portfolio snapshot (by CIK), and quarter-over-quarter holding changes (NEW / ADDED / REDUCED / EXITED). US stocks only. Different from longbridge-flows (stock-centric: who holds a symbol); this skill is manager-centric. Triggers: "基金经理持仓", "机构持仓排名", "大基金持仓", "巴菲特持仓", "贝莱德持仓", "13F基金视角", "基金经理排名", "AUM排名", "季度持仓变化", "基金經理持倉", "機構持倉排名", "大基金持倉", "13F基金視角", "季度持倉變化", "fund manager holdings", "institutional investor", "13F portfolio", "Berkshire holdings", "BlackRock positions", "fund manager ranking", "AUM ranking", "quarterly position changes", "CIK lookup".
508
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longbridge avatar
longbridge-quant-stats

longbridge/skills

Quantitative statistics framework for time-series analysis using Longbridge price data — ADF unit root test (stationarity), cointegration (Engle-Granger / Johansen), GARCH volatility modelling (conditional heteroskedasticity), regression diagnostics (Durbin-Watson / Breusch-Pagan), bootstrap confidence intervals, hypothesis tests (t-test / F-test). Requires statsmodels and scipy. Triggers: "量化统计", "ADF检验", "单位根", "协整检验", "GARCH", "自相关", "异方差", "Bootstrap", "假设检验", "量化統計", "ADF檢驗", "單位根", "協整檢驗", "異方差", "假設檢驗", "quantitative statistics", "ADF test", "unit root", "cointegration", "GARCH", "autocorrelation", "heteroskedasticity", "bootstrap", "hypothesis test", "statsmodels".
508
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everyinc avatar
dspy-ruby

everyinc/compound-engineering-plugin

Build type-safe LLM applications with DSPy.rb — Ruby's programmatic prompt framework with signatures, modules, agents, and optimization. Use when implementing predictable AI features, creating LLM signatures and modules, configuring language model providers, building agent systems with tools, optimizing prompts, or testing LLM-powered functionality in Ruby applications.
507
24.1k
longbridge avatar
longbridge-valuation-rank

longbridge/skills

Industry valuation rank time series for a single stock via Longbridge — tracks how a stock's PE / PB / PS / dividend-yield rank within its sector has changed over time (rank N of total M). Answers "is my stock becoming relatively cheaper or more expensive vs peers?" Complements longbridge-valuation (single-stock percentile history) and longbridge-industry-valuation (current sector snapshot). Triggers: "行业排名变化", "估值排名", "PE排名历史", "行业估值位置", "排名走势", "估值相对同业", "行業排名變化", "估值排名", "PE排名歷史", "行業估值位置", "排名走勢", "valuation rank", "industry rank history", "PE rank trend", "relative valuation rank", "sector ranking over time", "how does AAPL rank in industry PE".
507
47