Start with the job, then find an open-source answer

japan-recs supports both single-area restaurant research and multi-neighborhood trip planning. It can import places you already saved, add restaurants and activities around them, and organize results as Markdown, CSV, or Google Sheets with useful details and links. Markdown and CSV work directly, while Sheets output requires the Google Workspace CLI and OAuth setup.

Agent Memory organizes Markdown notes into a searchable vault with YAML metadata, relevance decay, and core-to-archive tiers. Agents can load only a description, a cached summary, or the full card, search different tiers by task depth, compress old session files, and inspect context-budget usage. Core memories remain manually controlled, and the basic engine has no required external dependency.

inbox-triage scans an inbox directory, classifies each file as a project, learning item, experiment, archive candidate, or related asset, and presents the plan before changing anything. After confirmation, it can scaffold missing project folders, prepend triage metadata, move the files, and verify the result. It expects a workspace with the documented inbox, project, learning, sandbox, archive, and optional template directories.

The TypeScript Narrows combines a Claude skill with an ESLint plugin to promote one consistent approach to type safety, async code, error handling, naming, immutability, and control flow. The skill covers guidance that cannot always be expressed as lint rules, while the plugin enforces the automatable subset in editors and CI. Either artifact can be used alone, but they are designed to complement each other.

Flowise Workflow Generator turns a workflow description into an importable Flowise JSON file, step-by-step UI instructions, and a Mermaid or SVG diagram of node connections and data flow. It covers Chatflows plus AgentFlow V1 and V2, with templates for chatbots, RAG, API integrations, multi-agent supervision, database agents, and human approval. Users can adapt the generated structure to their chosen models, tools, and data sources.

Deals reviews active opportunities in a Notion CRM and uses Gmail threads, Calendar meetings, and optional Obsidian contact notes to select three deals that need attention. It drafts concise follow-ups for each sales stage, updates next actions, and reports an overall deal snapshot. The workflow depends on a compatible Notion CRM plus Gmail and Google Calendar access.

code-agent-finops helps diagnose coding sessions that drifted, spent too many credits, passed tests while violating design intent, or repeatedly reloaded excessive context. It produces a calibrated prompt contract for the next session with explicit scope, semantic requirements, validation boundaries, and a stop condition. The method works well for bounded implementation tasks rather than open-ended architecture or brainstorming.

This repository currently centers on API Design Reviewer, a skill for analyzing OpenAPI or Swagger specifications, GraphQL schemas, and gRPC proto files across ten design dimensions. It produces scored Markdown and interactive HTML reports that explain what should change and why. Evaluation cases are included to check the consistency of the review behavior.

This skill and toolkit consolidate Scoreplan's v2 External, internal v2, and classic v1 API surfaces, including request schemas and a catalog of 109 endpoints. A Python utility can bulk-import actions, programs, projects, phases, and values from CSV or Excel, with a dry-run option for previewing requests. Creating indicators is not supported through the External API, and users must supply their own Scoreplan credentials.

Prompt Driven Development treats prompts, persistent project context, and review criteria as maintained project artifacts rather than disposable chat input. It provides workflows for setup, research, planning, prompt generation, revision, review, and evaluation. Simple features can follow a short Context-to-Prompts-to-Review path, while complex work adds research and planning. The shared core is packaged for Claude Code, GitHub Copilot, Codex, and Google Antigravity.

betting-app-skill is a Claude skill for building sports-betting and prediction-market applications with Next.js and Supabase. It documents PostgreSQL schemas, RLS policies, an atomic bet-placement function, pari-mutuel odds, settlement, leaderboards, and fixes for stale data or join types. The repository is a development guide extracted from a reference application, not a hosted betting product or standalone wagering service.

The Dock0 skill guides developers through connecting an existing remote MCP server or deploying a stdio server from GitHub onto managed infrastructure. It covers endpoint setup, API keys, rate limits, per-call pricing, public listings, wallet balance, earnings, Stripe-backed payouts, environment variables, logs, and redeploys. The guidance assumes the dock0 CLI is available when command-line operations are needed.

This skill first captures a business idea as a brief, then researches competitors, and finally creates a development blueprint with business and technical PRDs, database schemas, API contracts, module specifications, testing guidance, a multi-agent plan, and an implementation roadmap. The output is a structured set of documents and project scaffolding for later coding, not a finished application. Web search, Node.js with docx, and Python with openpyxl are required.

The skill reads an application’s code, blueprint, or description, then identifies missing features, useful AI integrations, n8n automation opportunities, and library changes. It organizes the findings by priority and can generate detailed specifications for selected improvements, with implementation remaining an optional next step.

Provide a taxonomic scope, trait, seed papers, and optionally a curated dataset. The agent proposes a schema and project-specific validation hooks for approval, then searches, fetches, and processes literature in batches. A record reaches the CSV only after its quoted evidence and page are checked against the hashed source PDF, with provenance retained in an append-only ledger.

The skill gives Claude Code reference material, reusable TaxEngine patterns, and calculation checks for SST, GST, and VAT implementations. Its strongest documented coverage is Malaysia and Singapore, while the Thailand material remains a skeleton. Income, payroll, and corporate taxes are outside scope, and production rates still require official or professional verification.

Enter workload details through Claude Code commands to receive a 7R recommendation, blocker triage, readiness scoring, and focused assessments for containers, databases, networks, or VMware estates. The skill can also draft wave plans, cutover runbooks, portfolio reports, and rough cost estimates. Its methodology and guardrails are stored locally, so no MCP server is required.

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.