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.
Design and adversarially verify authorization and tenant isolation
Project overview
authz-architect maps protected resources, actors, roles, and tenancy before choosing RBAC, ABAC, or ReBAC and an enforcement layer. A policy matrix drives consistent object-level checks and coverage tests, while adversarial probes target IDOR, privilege escalation, and cross-tenant leaks. The workflow requires previously failing cases to pass after remediation before authorization is attested.
Build a documentation site with structure, generated references, and drift checks
Project overview
docs-product-orchestrator treats documentation as a product: it defines audiences and information architecture, separates tutorials, how-to guides, explanations, and reference, and uses Diataxis with docs-as-code. It can generate API reference from source, check links and examples in CI, detect drift, and verify the published site. The focus is a coherent, maintainable documentation experience rather than a single page.
Localize content with transcreation, terminology, QA, and RTL support
Project overview
content-localization-orchestrator localizes marketing pages, docs, and product copy rather than only extracting code strings. It sets locale strategy, maintains glossaries and translation memory, supports transcreation, checks cultural and legal fit, and accounts for RTL direction and layout length. The result is prepared for coordinated publishing across multiple locales.
Run a newsletter program with cadence, testing, growth, and review
Project overview
newsletter-program-engine treats a newsletter as a recurring program rather than a one-off email. It helps define positioning and cadence, plan repeatable issues, segment the list, test subject lines, and design growth loops. Performance from each issue feeds the next planning cycle, giving the program state and a way to improve over time.
Organize a consumer dispute into a verified, deadline-aware paper trail
Project overview
pro-se-dispute-resolver turns a consumer or tenant problem into a dated fact record, demand letter, and route to the appropriate complaint forum. It helps check jurisdiction, citations, addresses, and deadlines, but it does not file anything, provide legal representation, or guarantee an outcome. Every fact and date must be verified before sending, with complex matters escalated to a licensed attorney.
Run a fundraise with a verified data room and investor diligence workspace
Project overview
raise-room-orchestrator runs the fundraise beyond a pitch deck: it coordinates the narrative and financial model, audits gaps in the data room, tracks investors, and prepares diligence Q&A from the company’s actual materials. The workflow is designed for rounds from pre-seed through Series B and keeps missing documents and follow-up work visible as the process moves forward.