Collection or directorySoftware developmentClaude Code
zx-skills
@dtz-labs·Python
Builds and debugs ZX Spectrum and Timex software through modular skills.
Project overview
zx-skills bundles modular skills for Sinclair BASIC, C, Z80 assembly, graphics, AY sound, special display modes, and ZEsarUX control. They support a build-load-run-debug workflow for ZX Spectrum and Timex projects, while actual compilation or emulator control still depends on the relevant toolchains, emulator, and optional MCP server.
Turns a product idea into a tested, previewable application with Claude.
Project overview
superstack guides non-coders from an idea through scope questions, a project roadmap, file generation, tests, and a local preview they can click through. After approval, it can save the files or deploy a site and can continue updating an existing project; the listed requirements include Windows, a Claude account, and a stable internet connection.
Structures NRF research proposals with literature, figures, and review simulation.
Project overview
nrf-proposal-skill organizes Korean NRF research proposals around program scoring, literature research, research gaps, logic structure, Korean drafting, figures, panel simulation, and HWPX export. It marks unverifiable claims, but the project explicitly treats output as a learning or reference draft that applicants must rewrite and verify rather than submit unchanged.
Plans and drafts weekly LinkedIn posts in the user's authentic voice.
Project overview
linkedin-writer calibrates a user's voice, researches recent industry updates, interviews them for firsthand material, proposes a weekly plan, and writes approved posts with image descriptions. It does not invent numbers, situations, or personal details, and stores the voice profile in VOICE.md for later sessions; a Claude Code account is required.
Collection or directoryMarketing, growth and salesClaude Code
product-growth-skills
@hdham9
Finds product-growth levers and designs a ranked experiment portfolio.
Project overview
product-growth-skills first diagnoses where a product should focus by building a driver tree and ranking leverage, influence, and compounding. Its experiment-design plugin then proposes candidates, scores them with ICE, and shapes a top-three portfolio with hypotheses, metrics, guardrails, sample or duration guidance, and right-sized statistics; it does not run experiments or analyze their results.
Orchestrates Russian-standard academic papers from idea through submission.
Project overview
paper-maestro is a Claude Code orchestrator for moving an academic manuscript from idea and literature gap through structure, drafting, data, citation verification, review, and submission. It is tuned to Russian VAK and GOST requirements, with a separate English or Q1 track, multi-agent barriers, and quality gates for overclaiming, reproducibility, and unsupported citations.
Compares local and live pages for measurable visual regressions.
Project overview
visual-diff captures matching pages from a local build and a live or staging URL with Playwright, then compares each pair using odiff. It writes a compact report with a numeric pixel-difference gate, supports desktop, mobile, and full-page captures, and limits image inspection to pages that fail, making visual parity checks cheaper for agents.
Compresses video and podcast transcripts into dense agent-ready packs.
Project overview
Crux cleans messy transcripts, counts the token reduction, and then guides an agent to remove duplicates, create timestamped chapters, select verbatim quotes, and produce a Markdown pack with an embedded JSON block. It works with YouTube, podcast, or other transcript text; the Python pass is a first cut that still benefits from agent refinement.
Combines Zi Wei and BaZi charts with LLM interpretation in an HTML book.
Project overview
ziwei-bazi-reading calculates Zi Wei Dou Shu and BaZi charts with separate local engines, then injects LLM interpretations into an interactive HTML reading book with charts and yearly or major-cycle views. The charting can run offline and keeps interpretation JSON separate; the project frames astrology as cultural or entertainment material, not empirical science or professional advice.
Scores AI product ideas on demand and gives cheap validation steps.
Project overview
AI Monetization Evaluator scores an AI product or side-project idea across demand hardness, niche focus, payment willingness, distribution, and defensibility. It identifies the weakest axis and suggests inexpensive ways to validate that bottleneck before building, keeping attention on demand rather than coding enthusiasm.
Compile scattered sources into a linked, traceable personal Markdown wiki
Project overview
llm-wiki-distiller separates notes, clippings, articles, chats, books, screenshots, and code into a preserved raw layer and a distilled wiki layer with source links. It offers quick, distill, review, search, and integrate modes, then checks for contradictions, stale pages, broken links, and orphans. The Markdown and Git-friendly output can feed articles, newsletters, decks, or agent context.
Archive selected Claude conversation topics verbatim to your notes
Project overview
Note_Claude scans recent Claude conversations for topics worth keeping, asks which ones to archive, and saves the selected text verbatim to Google Drive or Obsidian. It does not rewrite, summarize, tag, or classify the material, so raw capture remains separate from later organization. The workflow is suited to preserving context first and shaping it afterward.
Connect agent-native analytics, error logs, and deploy attribution
Project overview
agentry-skill connects product analytics, error logs, and deploy attribution through one HTTP API. Agents can query funnels, activation, retention, and business events; record exceptions, jobs, and operational cases; and relate production behavior to releases or code changes. It is a compact guide for using the capability across agent, MCP, and OpenAPI adapters rather than an SDK or request proxy.
General skillData and analyticsModel Context Protocol
forex-forecasting-skill
@tigor13061306·Python
Generate FX or gold directional briefs with live MetaTrader 5 data
Project overview
forex-forecasting-skill answers plain-language questions about currency pairs or gold with live MetaTrader 5 data. It combines D1, H4, and H1 trend, momentum, support and resistance, volatility, and macro context into a bullish, bearish, or neutral bias with invalidation levels. It can render a shareable candlestick card and add a trade setup only when requested; it never places or changes orders.
Rank financial news by likely impact on your trading watchlist
Project overview
news-impact-skill fetches Yahoo Finance RSS, deduplicates stories, filters them against a symbol watchlist and aliases, and asks an LLM to rank likely impact per symbol. It emits a compact JSON briefing grounded in headline text; it is advisory only and never places trades, sizes positions, or imports broker data.
Harden an LLM prototype with evaluations, guardrails, and observability
Project overview
LLM App Productionizer guides a working LLM prototype through ordered engineering phases instead of treating production work as one prompt. It covers evaluation sets, prompt-injection defenses, output validation, retries and fallbacks, caching, token-cost limits, latency, tracing, canary releases, and rollback. The skill is aimed at teams that need evidence at each stage before expanding a prototype.
Plan and verify zero-downtime schema and data migrations
Project overview
migration-conductor keeps a stateful ledger for schema and data migrations and gates the expand, migrate, and contract phases across deployments. It can drive tools such as pgroll, gh-ost, Atlas, or an ORM while retaining the same checks for hand-written SQL. Backfill parity, dual-write status, reader removal, and reversibility must be demonstrated before destructive cleanup, so unsafe phase skips are refused.
Plan a cross-state or international move with dated tasks
Project overview
relocation-logistics-orchestrator turns a cross-state or international move into a backward-planned checklist covering housing, healthcare and records, licenses and vehicle registration, address changes, schools, taxes, utilities, movers, and budget. It connects cross-domain dependencies and highlights jurisdiction-specific date windows. The plan still requires the household to confirm local rules and complete each task.