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Found 259 Skills
Implement OpenTelemetry logs/metrics/traces, SLI/SLO gates, burn-rate alerts, and APM integrations. Use when adding or validating observability.
Write PRDs, specs, and project context optimized for coding assistants (Claude Code, Cursor, Copilot, Custom GPTs). Includes CLAUDE.md generation, session planning, and templates for creating documentation that tools can execute effectively.
Extract text/tables from PDFs, create formatted PDFs, merge/split/rotate, handle forms and metadata. Supports pdf-lib/pdfkit (Node.js) and pypdf/pdfplumber/ReportLab (Python).
Use when you need systematic extraction of pain points, feature gaps, switching triggers, and opportunities from reviews (B2B review sites, app stores, forums, communities, issue trackers). Includes bias hygiene, taxonomy building, triangulation, and turning insights into experiments.
Data lake and lakehouse platform patterns: ingestion/CDC, transformations, open table formats (Iceberg/Delta/Hudi), query and serving engines (Trino/ClickHouse/DuckDB), orchestration, governance/lineage, cost and operations. Self-hosted and cloud options.
Competitive analysis for startups: identify and segment competitors (direct/indirect/substitutes/status quo), map markets, build sales battlecards, run win/loss + churn analyses, and refine positioning/differentiation. Use when asked to compare products vs competitors, define competitive alternatives, explain category structure, or set up competitive intelligence monitoring and update cadences.
Design or audit AI-first help centers/knowledge bases/FAQs, including taxonomy, article templates, analytics, and AI support (RAG, chatbot, escalation), using 2025-2026 best practices
Content strategy and operations for marketing teams. Positioning, messaging hierarchy, content pillars, editorial calendars, trust-building content, brand architecture, GEO/AI discovery, and content ROI measurement. Use for positioning sprints, trust audits, messaging matrices, content pillar planning, editorial ops, or ROI attribution (including regulated industries).
End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations with SQLMesh. Use for dataset exploration, feature design, model selection, metrics and slice analysis, model cards/eval reports, experiment reproducibility, and production handoff (monitoring and retraining).
Run and stabilize iOS tests (XCTest, XCUITest, Swift Testing) on simulators and devices with xcodebuild/simctl: choose destinations, manage simulator state, control flakes (locale/time/network/animations), configure CI, and collect/parse xcresult artifacts.
Risk & Change Management (Devil's Advocate): Identify risks, manage issues, and evaluate change requests. Use this skill to proactively detect threats, assess the impact of changes, and protect the project baseline.
Production-grade payment integration for Stripe, Paddle, Adyen, and more. Use when implementing checkout, subscriptions, webhooks, or billing.