Recently updated open-source projects

Deep Stock Analysis provides a Buffett-style framework that treats a stock as a whole business rather than a short-term price forecast. It asks the analyst to separate facts, assumptions, inferences, and opinions while examining the business, moat, management, financial quality, intrinsic value, margin of safety, and reasons not to buy. The templates work as plain prompts or a Claude Skill across three markets. They are for research and method practice, not investment advice, and current data must be checked independently.

This skill converts a request to explain a repository, pull request, feature, or diff into a locally served reveal.js deck. It plans 5–15 stops with highlighted code, clickable file-and-line links, Mermaid architecture or flow diagrams, optional speaker notes, and nested drill-down slides; a Python HTTP server and modern browser are required.

research-paper combines three independent skills for discovering literature, reading individual papers visually, and drafting new academic work from real sources. It can assemble reading lists and bibliographies, explain a paper with mind maps and flowcharts, or produce papers, reviews, theses, and whitepapers in several citation styles. Markdown works by default; richer file input, charts, and PDF or DOCX export require additional Python packages or Pandoc.

Rameez Taste Skill helps AI coding assistants give landing pages, portfolios, and redesigns a more deliberate visual direction. It maps the brief to a design system, tunes design variance, motion, and visual density, and checks for AI tells, dark mode, and accessibility. It excludes dashboards, data tables, and multi-step product UI, and this version is manual-invoke only through the taste keyword.

luu closes a Claude session by extracting decisions, current state, daily notes, and AI-ecosystem traces into a configured vault. It backs up files before overwriting, avoids duplicate appends, checks paths and modification times, and reports disk-backed results when a step fails, so it can be rerun without silently erasing older notes.

MoneyPun collects bank and card alerts, merchant confirmations, receipts, e-wallet notices, and utility bills from Gmail, matches them into transactions, and asks about ambiguous items before producing JSON and HTML reports. It stores account and category preferences for later runs, and requires Claude Desktop Cowork mode, a Gmail connection, and notification emails from the relevant banks or cards.

solana-fundraise-skill helps Solana projects choose suitable funding programs, write credible applications, and plan delivery after funding. It covers positioning, program fit, proposals, social proof, outreach, rejection handling, and grant stacking across Solana Foundation, Superteam Earn, and Colosseum.

claude-skills-collection is a curated set of drop-in Claude Code skills for automation, data extraction, code generation, and productivity work. It is aimed at people who want to extend Claude with reusable capabilities instead of assembling each workflow from scratch.

Throughline turns interview transcripts, notes, usability sessions, or survey exports into a prioritized product backlog. It segments evidence, clusters themes, ranks actionable problems or opportunities by evidence weight, and links every item to verbatim participant quotes; three or more participants form a Finding, while one or two remain a Hunch.

play-console-draft inspects an Android, Kotlin Multiplatform, or Flutter project, prepares a signed AAB and policy pages, and drafts store listing assets and declarations from the detected data practices. It can drive Play Console through a Chrome extension, but agreements, identity and payment steps, the first upload, and production rollout remain human gates.

Deep Review is an experimental Claude skill for finding problems that a generic file pass may miss. After a short calibration interview, it decomposes a paper or technical artifact into specialist checks, tests claims against sources and computations where possible, and returns a severity-ranked report. Optional review memory is written only after approval, and the tool is best treated as preparation for expert judgment rather than a replacement.

editable-html-slides adds a visual editor to an existing HTML deck without requiring Node, npm, or a build step. Users can change text, add and resize images, undo edits, reorder slides, autosave locally, and export a standalone HTML file while preserving the original design and speaker notes. The deck must expose compatible slide and active-page selectors, which can be retargeted for custom runtimes.

Dowsing turns an item, time, and loss context into a structured search report with a primary direction, prioritized locations, movement clues, a findability tendency, and concrete next steps. Its interpretations change across home, public, transit, and lost-pet scenarios rather than assuming every loss happened indoors. The project frames these results as a search heuristic for checking overlooked places, not as a guarantee or substitute for practical action.

CreatorCrawl Skill teaches coding agents to query a social-media data API across TikTok, Instagram, YouTube, LinkedIn, Twitter/X, and Reddit. Its workflows cover creator audits, viral-content analysis, trend research, competitor monitoring, and influencer prospecting, with 60-plus tools available through MCP or a TypeScript SDK. The skill itself is only the operating guidance; live data requires a CreatorCrawl API key and account credits.

engineering-craft extracts implementation practices from ten exemplar codebases, covering testing, simplicity, operational robustness, extensibility, resource control, and API discipline. A practice enters its principles index only after converging across at least three unrelated projects and includes boundary conditions, so Apply and Review mode recommendations can stay calibrated instead of becoming blanket rules.

Point Claude at one paper or a folder of PDFs. The skill extracts a DOI when possible, resolves metadata through CrossRef or Semantic Scholar, and renames files in an author-title-year format with collision handling. Scanned documents can use Tesseract or Claude vision, while the local processing path requires PyMuPDF and additional OCR dependencies when needed.

This Bash wrapper reduces a Google Cloud GPU workflow to creating a VM, pushing code, launching detached jobs in tmux, streaming logs, pulling results, and stopping or deleting the instance. It works through Claude Code or Codex as well as a standalone CLI. You still need a configured gcloud login, a project with GPU quota, and attention to shutting down running machines because billing continues while they are active.

master-learning runs a separate research pass before coding, inspecting local conventions alongside official documentation, papers, standards, and GitHub examples. It returns a decision-ready Learning Brief with domain concepts, implementation patterns, risks, source quality, and open questions, while skipping trivial edits and fixes with clear local evidence.