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Product Management
dvy1987/agent-loom
0 installs 3 GitHub stars

experiment-backlog

Turn assumptions, funnel opportunities, and product questions into a prioritised, feasibility-checked experiment backlog. Filters by traffic reality, metric latency, and method feasibility — not just ICE/RICE scoring. Maintains a living portfolio with status (idea → designed → running → readout → archived). Load when the user says "what should we test next", "build an experiment backlog", "priorit…
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Data analysisStatisticsDecision Making
dvy1987/agent-loom
0 installs 3 GitHub stars

experiment-readout

Analyse experiment results, run validity checks (SRM, exposure parity, data integrity, novelty/primacy), interpret causally, make a ship/iterate/kill decision against the pre-declared rule, and append to cumulative learnings. Forces honest readouts — strips significance claims from underpowered or peek-violating tests; never lets directional results masquerade as causal wins. Load when results exi…
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Analytics EngineeringProduct Management
dvy1987/agent-loom
0 installs 3 GitHub stars

experiment-runbook

Translate an approved experiment spec into a launch runbook — platform binding (PostHog primary), feature flag setup, assignment unit, exposure event definition, instrumentation QA, dashboard wiring, ramp plan, monitoring, and rollback procedure. Platform-agnostic core with one strong PostHog adapter shipped; GrowthBook, Statsig, LaunchDarkly, Optimizely, and Eppo documented as a single mapping ta…
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StatisticsProduct Management
dvy1987/agent-loom
0 installs 3 GitHub stars

experiment-spec

Write a rigorous, decision-grade experiment spec — falsifiable hypothesis, primary metric, guardrails, randomisation unit, exposure definition, method (A/B, holdout, switchback, quasi-experiment, MAB), MDE/duration plan, peek policy, validity threats, and pre-committed decision rule. Platform-agnostic. Load when the user has a candidate experiment and needs to spec it before launch, or says "spec …
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Product ManagementData analysisStatistics
dvy1987/agent-loom
0 installs 3 GitHub stars

experimentation

Orchestrator for the experimentation skill suite — turn assumptions and product questions into rigorous, well-instrumented experiments and decision-grade readouts. Routes through backlog → spec → runbook → readout based on user need and existing artefacts. Platform-agnostic with PostHog as the primary binding. Load when the user asks to design an experiment, A/B test something, set up an experimen…
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Software ArchitectureReact NativeExpo
Vitammiin/agent-vorcl-flow
0 installs 2 GitHub stars

expo-mobile-architecture

Обязательные правила production-архитектуры React Native + Expo для приложений с большой бизнес-логикой: Expo Router только для маршрутов, Modular Vertical Slice в src/modules/, shared infrastructure в src/shared/, TanStack Query для server state, Zustand для shared client state, domain/application/data/ui для сложных сценариев. Use ВСЕГДА при создании или изменении экранов, модулей, API, stores…
Community score
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Low community score

: This skill has a community score below −5, meaning it has received more downvotes than upvotes. Review its source and assessment before installing. Community votes are not a security review.
LESS SETUP. MORE POSSIBILITY.

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Make something.

Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.

01

Search the actual skill.

A name only tells half the story. Search the full description and instructions to find the right fit.

02

Get to know it.

Read the skill, visit its source, and see exactly what you’re adding to your agent.

03

Give your agent a new ability.

Copy the install command from a skill page and run it in your project.

npx skillycli add owner/repo --skill name