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Found 169 Skills
Query fan-out coverage for AI visibility. Covers semantic variation analysis and sub-question targeting.
Generate attention-grabbing hooks from 5 investor archetype perspectives to find angles that resonate with different audience motivations.
Detect anomalies in data using statistical and ML methods. Z-score, IQR, Isolation Forest, and time-series anomalies.
Find bottom-of-funnel keywords with high purchase intent for any product. Uses Perplexity for real-time search data.
Manage backlog items across multiple backends (GitHub Issues, Linear, Beads). Configure task_management in .agents.yml.
Four common skill archetypes with structure templates - CLI reference, methodology, safety/security, and orchestration. Use when creating new skills to select appropriate structure.
Write pytest tests with fixtures, parametrization, mocking, async testing, and modern patterns. Use when creating or updating Python test files. Not for unittest — use standard library patterns instead.
Use when configuring or working with Solid Queue for background jobs. Applies Rails 8 conventions, database-backed job processing, concurrency settings, recurring jobs, and production deployment patterns.
Technical mechanics for autonomous AI coding loops
Run SEO and GEO audits on URLs covering technical SEO, content quality, E-E-A-T signals, and AI citation readiness. Use when evaluating search performance or diagnosing ranking issues.
Pipeline health assessment with coverage ratios, conversion benchmarks, velocity analysis, and problem diagnosis frameworks.
Create sales playbooks with discovery frameworks, objection handling, competitive positioning, demo scripts, and closing techniques. Use when building or updating B2B sales enablement materials.