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Found 129 Skills
Use production telemetry as INPUT to design new tests. Covers OpenTelemetry integration with tests, trace-based assertions, log-informed test creation, production-error analysis for coverage gaps, and telemetry-driven test prioritization. Use when: "trace-based testing," "design tests from logs," "OpenTelemetry assertions," "production errors point to test gaps," "telemetry-driven testing." Not for: safe rollout techniques (flags, canary) during release — use testing-in-production. Not for: scheduled post-deploy probes — use synthetic-monitoring. Not for: triaging CI failures — use ai-bug-triage. Related: testing-in-production, synthetic-monitoring, qa-metrics, ai-bug-triage.
Knowledge base for designing, reviewing, and linting agentic AI infrastructure. Use when: (1) designing a new agentic system and need to choose patterns, (2) reviewing an existing agentic architecture ADR or design doc for gaps/risks, (3) applying the lint script to an ADR markdown file to get structured findings, (4) looking up a specific agentic pattern (prompt chaining, routing, parallelization, reflection, tool use, planning, multi-agent collaboration, memory management, learning/adaptation, MCP, goal setting, exception handling, HITL, RAG, A2A, resource optimization, reasoning techniques, guardrails, evaluation, prioritization, exploration/discovery). All rules and guidance are grounded in the PDF "Agentic Design Patterns" (482 pages).
Decide which third-party marketplaces to list on, how much to invest in each, what ROI to expect, and when to delist - marketplace prioritization for partner teams. Covers cloud marketplace listing strategy, SaaS app store and integration directory prioritization, and retail marketplace selection for ecommerce (1P vs 3P vs hybrid), with a readiness gate, weighted scorecard, and provenance-flagged ROI expectations. Use whenever the user mentions AWS, Azure or GCP marketplaces, an app store listing, an integration directory, or asks whether a marketplace listing is worth it, even if they never say marketplace strategy. Do NOT use for choosing which partner category to launch next - use mbfinotti/partnerships-skills@partner-ecosystem-expansion instead.
Design and review container runtime basics for reproducible local/service execution using Docker. Use when container build/run behavior, networking, volumes, and runtime isolation need explicit decisions; do not use for API contract or requirement prioritization tasks.
Guide product managers in choosing the right prioritization framework by asking adaptive questions about product stage, team context, decision-making needs, and stakeholder dynamics. Use this to avoid
Advanced vulnerability analysis principles. OWASP 2025, Supply Chain Security, attack surface mapping, risk prioritization.
Guides director-level infrastructure capex accounting—capitalization policy and governance, WIP/CIP and project closeout, useful-life and impairment standards, capex forecast vs actual for data center and compute programs, board and audit narratives, SOX over fixed-asset and cloud-prepaid programs, and alignment with engineering and portfolio delivery. Use when setting capex accounting policy, reviewing material capitalization judgments, governing infrastructure asset programs, executive capex reporting, or audit steering for DC/compute investments—not for month-end JEs and CUR mapping (compute-accounting-manager), rack utilization (data-center-compute-supply-efficiency), facility design (data-center-design-execution-lead), or multi-site investment prioritization (data-center-portfolio-planning-execution-lead).
Use after backlog decomposition to define prioritization, MVP and release slices, sequencing, readiness, traceability, and JIRA-ready outputs, then score backlog quality for planning and estimation. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution. Explicit full or end-to-end spec refinement requests continue through the existing 18-stage refinement cascade.
Create a decision memo with options, trade-offs, and recommendations for roadmap prioritization. Use when a PM needs help with roadmap alignment memo.
Working memory management, context prioritization, and knowledge retention patterns for AI agents. Use when you need to maintain relevant context and avoid information loss during long tasks.
Guides enterprise data center portfolio planning and execution—multi-site capacity roadmaps, investment prioritization (build, expand, refresh, exit, colo vs owned), portfolio RAID and dependency management across DC programs, stage-gate governance, capex/opex alignment, regional and resiliency strategy, and steering-committee reporting. Use when prioritizing several DC initiatives, harmonizing site plans over 3–5 years, tracking a portfolio of hall builds and refreshes, or aligning facilities/IT/finance on DC investments—not for a single hall MEP design (data-center-design-execution-lead), host-level utilization (data-center-compute-supply-efficiency), generic software programs (technical-program-manager), or cloud IaC (infrastructure-engineer). For executing approved MW/rack delivery on schedule, use senior-data-center-capacity-delivery-manager.
Rank named candidate strategic alliances and technology partnerships by expected value, effort, and risk, to decide where partner-team capacity goes - must-pass screens, a weighted alliance scorecard with sensitivity analysis, co-innovation and platform-dependency risk checks, a ranked shortlist, and a go/no-go recommendation memo. Covers B2B tech alliances and B2C brand and creator partnerships. Use whenever the user mentions alliance prioritization, partnership ranking, partner shortlisting, or asks which of several named partners deserves investment, even if they never say prioritization. Portfolio-level comparison only. Do NOT use for modeling one partner's P&L - use mbfinotti/partnerships-skills@partner-economics instead.