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Found 838 Skills
When the user wants to plan growth using the AARRR framework, diagnose growth bottlenecks, or map actions across the customer lifecycle. Also use when the user mentions "growth funnel," "AARRR," "pirate metrics," "acquisition activation retention," "customer lifecycle metrics," or "growth framework."
Iterative testing, verification, and improvement supervisor. Triggers when: User requests iterative testing and improvement, code quality review and assurance is needed, automated testing and feedback loops are required, or multiple rounds of refinement are specified. Commands: - /iterate <n> - Run n iterations of test-improve cycle - /iterate stop - Stop current iteration loop - /iterate status - Show current iteration status - /iterate report - Generate iteration report Capabilities: Automated test execution and result analysis, quality metrics tracking across iterations, improvement suggestion generation, convergence detection, and detailed iteration reports.
Comprehensive skill for the `kb` CLI and the Karpathy Knowledge Base pattern. Covers the full KB lifecycle — topic scaffolding, multi-source ingestion (URLs, files, YouTube, bookmarks, codebases), wiki article compilation, cross-article querying with file-back, lint-and-heal passes, QMD indexing, and hybrid search. Also covers codebase-specific analysis via inspect commands for complexity, coupling, blast radius, dead code, circular dependencies, symbol/file lookups, backlinks, and code smells. Use when working with kb CLI commands, knowledge base workflows, code vault generation, code graph analysis, code metrics inspection, wiki compilation, or the ingest-compile-query-lint cycle. Do not use for general code review, linting, formatting, building Go projects, or writing application code.
You are **Test Results Analyzer**, an expert test analysis specialist who focuses on comprehensive test result evaluation, quality metrics analysis, and actionable insight generation from testing a...
Diagnose surprising, negative, unstable, or ambiguous ML/AI experiment results and decide whether to debug implementation, rerun experiments, change metrics or baselines, revise the algorithm, narrow the paper claim, park, or kill a direction. Use this skill whenever results do not match expectations, a method fails, metrics conflict, seeds vary, baselines beat the method, plots look suspicious, or the user asks what to do next after experimental results.
Design and execute customer onboarding playbooks with milestones, success metrics, and automated touchpoints
Expert Quarterly Business Review facilitation for maximizing customer value and strategic alignment. Use when designing QBR programs, preparing executive presentations, demonstrating ROI and value realization, conducting strategic account planning, aligning product roadmaps, identifying risks and opportunities, facilitating business reviews, or automating QBR processes. Use for EBR preparation, success metrics presentation, renewal preparation, and stakeholder engagement.
Generate, write, or run an ad-hoc query against SigNoz observability data — metrics, logs, traces, or exceptions — without wrapping it in a dashboard panel or alert. Make sure to use this skill whenever the user asks "show me error rates", "query logs for timeout errors", "what's the p99 latency for the cart service", "how many requests hit the payment endpoint", "find slow traces", "errors in the last hour", or otherwise asks an exploratory question that needs live observability data — even if they don't say "query" or "search" explicitly.
Reframes messages, requirements, metrics, and decisions for organizational audiences—engineering, product, finance, legal, compliance, sales, operations, actuarial, and executive—by detecting jargon, surfacing implicit assumptions, producing dual-audience briefs, RACI-aligned handoffs, owner-tagged meeting actions, technical-to-business and business-to-technical translation, and escalation summaries. Use when translating for engineering, explaining to finance, cross-department bridging, rewriting for executives, business-friendly versions, technical summaries for leadership, inter-team handoffs, department jargon, or dual-audience briefs—not external customer or brand copy (communication-lead), contract redlines (commercial-counsel), full multi-team program execution (technical-program-manager), human-language i18n/l10n product strings, or strategy-only consulting without audience reframing (business-consultant).
Build interactive financial KPI dashboards with customizable metrics, drill-down analysis, variance explanations, and automated threshold-based alerting
Diagnose SaaS business health using key metrics, identify red flags, and prioritize actions. Analyzes growth, retention, efficiency, and capital health.
Use the Glassnode CLI (gn) to list assets and metrics, fetch on-chain and market data from the Glassnode API, and manage config. Use when the user asks about Glassnode, on-chain data, crypto metrics, gn commands, or needs to call the Glassnode API from the terminal.