Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Targets stocks with P/E below 20, P/B below 2, dividend yields of at least 3%, and rising dividends, revenue, and EPS over three years. Supports FINVIZ Elite API pre-filtering followed by detailed FMP API analysis.
Creates audience-facing statements from existing value propositions. Adapts the messaging for marketing, sales, and onboarding.
Uses the JTBD sections Who, Why, What before, How, What after, and Alternatives to define a value proposition. Helps explain customer value delivery and why customers should choose the product.
Provides a Valyu API toolkit for AI agents searching web, academic, medical, transportation, and financial sources. Supports content extraction from URLs, answers with citations, and comprehensive research reports.
Evaluates codebases, PRs, architectures, and technical plans for unjustified abstractions, premature optimization, and technology choices driven by developer preferences. Assesses whether refactors, rebuilds, and complexity serve actual requirements.
Decompose budget-versus-actual and period-over-period financial changes into their drivers. Analyze revenue and expense variances and prepare narrative explanations and waterfall analysis for leadership.
Creates alternative versions of a component under development. Helps iterate on those variants and choose one.
Generalizes a discovered vulnerability, logic bug, or bad pattern to locate related instances. Can create CodeQL or Semgrep queries for the pattern family and triage similar candidates against the known root cause.
Identifies Minervini-style Stage 2 uptrends with tight bases and contracting volatility near breakout pivots. Historical mode scans a ticker's multi-year price history and reports VCP occurrences with breakout, stop-hit, and timeout outcomes.
Finds cryptographic implementations and uses mutation testing to identify uncovered behavior. Generates vectors for those paths and compares mutation kill rates before and after, supporting Wycheproof gap analysis and cross-implementation suites.
Covers vector index optimization through HNSW parameter tuning and quantization strategy selection. Supports balancing latency, recall, and memory use while scaling vector search infrastructure.
Supports historical data retrieval, entry/exit signals, strategy comparison, parameter optimization, position sizing, and portfolio analysis. Covers equity curves, drawdown charts, trade analysis, and openalgo.ta helpers such as crossover, donchian, and supertrend.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name