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Found 6,796 Skills
Comprehensive toolkit for managing large Claude Code skill collections including bulk downloading from GitHub, organizing into categories, detecting and removing duplicates, consolidating skills, and maintaining clean skill repositories with 100+ skills.
L3 Worker. Goal-based open-source replacement auditor: discovers custom modules (>100 LOC), analyzes PURPOSE via code reading, searches OSS alternatives via MCP Research (WebSearch, Context7, Ref), evaluates quality (stars, maintenance, license, CVE, API compatibility), generates migration plan.
Use when setting up metrics, alarms, or troubleshooting missing data in OCI Monitoring. Covers metric namespace confusion, alarm threshold gotchas, log collection setup, and common monitoring gaps.
Forecast Generator - Auto-activating skill for Data Analytics. Triggers on: forecast generator, forecast generator Part of the Data Analytics skill category.
Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Use when users need to turn spreadsheets into executive summaries or board reports.
StartupBase platform help — community-driven startup discovery directory with free dofollow backlinks (DR39). Covers submission process (social auth, tech startups only), review queue (2-3 months free, 24-hour premium), selection criteria (custom domain, public product, never previously featured), weekly Spark newsletter, market categories, and comparison with other directories. Use when your startup needs more visibility and early adopter traffic, you want the DR39 dofollow backlink from StartupBase, your submission keeps getting rejected, or the review queue is taking too long. Do NOT use for multi-directory launch strategy (use /sales-launch-directory). Do NOT use for Product Hunt launches (use /sales-producthunt).
High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3 instead.
Interact with Google Cloud Storage to manage buckets, objects, and access controls for scalable data storage.
DailyBot integration. Manage Users, Roles, Goals, Organizations. Use when the user wants to interact with DailyBot data.
Calculate present value, future value, NPV, IRR, loan payments, and amortization schedules across all compounding conventions. Use when the user asks about discounting cash flows, valuing an annuity or perpetuity, comparing investments with different timing, building a mortgage amortization table, or evaluating whether a project is worth pursuing. Also trigger when users mention 'what is it worth today', 'how much will I have in 20 years', 'monthly payment on a loan', 'discount rate', 'Gordon growth model', 'effective annual rate', 'continuous compounding', or ask how to compare a lump sum versus a stream of payments.
Scaffold or audit a project's mise task-runner setup the house-standard way — generates a lean mise.toml, directory-namespaced .mise/tasks/* scripts (tf:apply, node:setup), a project "mise" house-rules skill, and command-skills for destructive tasks; greenfield or brownfield (detect what's there, report drift, fix on approval). Advisory: recommends the standard, explains the tradeoffs, and lets you decide. A deliberate, roughly once-per-project setup action — invoke it explicitly with /scaffold when starting or standardizing a repo (terraform, python, node, go, localstack, docker-compose, aws, arduino/platformio). Not for everyday build/test/lint runs.
Guide for writing ast-grep rules to perform structural code search and analysis. Use when users need to search codebases using Abstract Syntax Tree (AST) patterns, find specific code structures, or perform complex code queries that go beyond simple text search. This skill should be used when users ask to search for code patterns, find specific language constructs, or locate code with particular structural characteristics.