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For SaaS customer success teams: three standard-library Python scripts turn customer data into health scores, churn-risk tiers and ranked expansion opportunities, with reproducible results. Needs Python and customer data in the sample JSON format. Part of the claude-skills collection.

A collection of 380+ skills across engineering, product, marketing, compliance, finance and executive advisory roles, with many standard-library Python scripts. Claude Code can install them by domain as plugins; works with Codex, Gemini CLI and a dozen other agents.

Helps HR and hiring managers design structured interviews: plans rounds by role and level, builds question banks, competency matrices and scoring rubrics, and suggests ways to reduce interviewer bias and recalibrate. Examples focus on tech roles; optional local Python scripts.

Chief people officer perspective for HR and founders: hiring plans and headcount costs, salary bands and equity design, org structure, performance calibration and retention. Includes two local Python scripts; pay examples use USD and US city tiers. Have comp and equity plans reviewed.

Finance plugin: ratio analysis, DCF valuation, budget variance, revenue and cash-flow forecasts, SaaS metrics like ARR, churn, LTV and CAC, and peer-comparison fundamentals for US and Indian listed companies. Includes Python scripts. Not investment advice; needs professional review.

Packs a whole repository into a single AI-friendly file (XML, Markdown, JSON or plain text) with per-file token counts, automatically excludes files containing secrets, and can compress code with Tree-sitter or pack remote GitHub repos directly.

Finds leaked credentials in Git, GitHub, S3, filesystems and more, recognizing 800+ secret types and checking with each service whether a key is still live to cut false positives.

Status line plugin for Claude Code showing the model, Git branch, context usage and rate limits live below the input, optionally with running tools, active subagents and todo progress.

Terminal coding agent from Charm: switch models mid-session while keeping context, manage multiple sessions per project, pull code context via LSP, and extend with MCP and any OpenAI- or Anthropic-compatible API.

Helps turn a fuzzy intention into a concrete, measurable goal before work starts: outcome, verification evidence, success threshold, scope and stop conditions, then creates it with the goal tool (get_goal, create_goal). From OpenAI's official skills repo.

Graph-based task tracking and memory for coding agents: a dependency graph replaces Markdown plans, agents claim ready work with bd ready and keep context across sessions. The plugin injects workflow instructions through hooks. Requires the bd CLI.

Graph-based task tracker CLI (bd) for coding agents: replaces Markdown plans with a dependency-aware task graph that gives long tasks persistent memory. Stored in Dolt and syncable across machines; bd init hooks it into Claude Code and Codex automatically.

Parses a PRD into a dependency-aware task list so Claude Code, Cursor and other agents pick up the next task in order, split subtasks and update progress. Offers both a CLI and an MCP server. Needs at least one model API key, or reuse a Claude Code or Codex login.

Parses a PRD into a dependency-aware task list with complexity analysis, task breakdown and research; the plugin bundles slash commands, subagents and the MCP server. Needs a model API key, or reuse a Claude Code or Codex CLI login.

Parses a PRD into a dependency-aware task list so Cursor, Claude Code and other coding agents break it down, implement it and track progress; also works as a CLI. Needs at least one model API key, or reuse a Claude Code or Codex CLI login.

SEO audit plugin covering technical SEO, E-E-A-T content quality, Schema markup, Core Web Vitals, local and e-commerce SEO, and GEO for AI search. Parallel subagents audit and return a prioritized action list. Needs Python 3.10+; Playwright optional for SPA rendering and screenshots.

Keeps the plan, research findings and progress in three files (task_plan.md, findings.md, progress.md) and injects them every turn via hooks, so work resumes after /clear, context compaction or an interrupted session. A Chinese-language variant is also available.

Manus-style file-based planning: writes the plan, findings and progress to three Markdown files and injects them into context each turn via hooks, so the agent resumes from the current phase after /clear, compaction or a crash. Supports Claude Code, Codex and many other agents.

Product management skills collection: 69 skills and 42 chained workflows for discovery, strategy, PRDs, roadmaps, go-to-market and growth analytics. Installing it as a Claude Code plugin also adds commands such as /write-prd.

Plugin marketplace for product managers: 9 plugins, 60+ skills and 40+ chained workflows covering product discovery, strategy, PRDs and roadmaps, market research, go-to-market and growth. Installs in both Claude Code and Codex.

Financial research terminal agent, like Claude Code for finance: breaks company research questions into steps, pulls financial statements and market data, and self-checks before answering. Needs Bun, a model API key and a Financial Datasets API key; for learning and research only.

Translation skill by Baoyu with quick, normal and refined modes, custom glossaries, and target audience and style settings. Translates local files or URLs; suited to long-form Chinese-English translation and localization. Needs bun or npx.

Open-source SEO tool (a Semrush/Ahrefs alternative) with built-in MCP for keyword research, rank tracking, competitor and backlink analysis, site audits and AI search visibility checks. The hosted version has a free trial; self-hosting needs a pay-as-you-go DataForSEO key.

CLI and library for evaluating and red-teaming LLM apps: compare prompts and model outputs in bulk, scan for security vulnerabilities and plug into CI/CD, with evals running locally. Now part of OpenAI and still open source under MIT.