This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
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Feature flag strategy, lifecycle, and operations. Use when designing a flag taxonomy, planning a gradual rollout, building kill switches, auditing flag debt, defining governance, running progressive delivery, or rolling back via flags.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
End-to-end feature flag design, rollout, and lifecycle management. Covers flag taxonomy (release vs ops vs experiment vs permission), gradual rollout patterns with blast-radius math, kill-switch runbooks, governance (who can flip what), and the flag-debt cleanup loop that keeps a codebase from drowning in stale flags.
This skill is provider-agnostic: the patterns work whether you run LaunchDarkly, Statsig, Unleash, Flagsmith, ConfigCat, GrowthBook, OpenFeature, or a homegrown system backed by Redis/DynamoDB/Postgres.
Every flag belongs to exactly one of these four types. The type determines the lifecycle, who can flip it, and whether it should auto-expire. Mixing types in one flag is a root cause of flag debt.
| Type | Purpose | Lifetime | Who flips | Auto-expire? |
|---|---|---|---|---|
| Release | Decouple deploy from release. Ship code dark, ramp to users. | Days to weeks | Engineer who owns the feature | Yes — remove after 100% rollout + 1 release |
| Ops | Kill switches, circuit breakers, throttles. Turn off risky behavior fast. | Permanent or long-lived | Oncall / SRE / platform team | No — but review quarterly |
| Experiment | A/B test, multi-arm bandit, hold-out group. Measure causal impact. | Weeks to months (test duration) | Product / data / growth | Yes — remove after winner is shipped |
| Permission | Entitle users to features based on plan, role, beta-list. | Permanent | Product / billing | No — but consolidate into entitlement system |
Decision rule when adding a flag: name the type. If you can't, the flag shouldn't exist yet — clarify intent first.
scripts/flag_audit.py.engineering/experiment-design for statistics.business-growth/paywall-upgrade-cro for the UX.Before designing or operating flags, confirm these inputs. If any is unknown or vague, ASK — do not assume:
flag_audit.py vs rollout_simulator.py vs kill_switch_runbook.py)--users/--profile and the runbook content)Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
| Tool | Purpose | Command |
|---|---|---|
flag_audit.py | Scan a codebase for flag references, age, classification, and recommended action (optionally cross-reference a control-plane export) | python scripts/flag_audit.py --path . --format markdown |
rollout_simulator.py | Model a rollout: per-step blast radius, time-to-detect, recommended schedule | python scripts/rollout_simulator.py --users 500000 --profile standard |
kill_switch_runbook.py | Generate a kill-switch runbook (default state, flip procedure, validation, escalation) | python scripts/kill_switch_runbook.py --flag ops.recs.kill_switch --feature Recommendations --dependency recs-svc |
All scripts: standard library only, argparse CLI, JSON + human-readable output. Run --help for full usage.
Load the reference that matches the task — keep this file lean and pull detail on demand:
This skill covers: flag taxonomy and lifecycle, rollout ramps with blast-radius math, kill-switch design and runbooks, governance/audit requirements, and flag-debt cleanup — provider-agnostic across LaunchDarkly, Statsig, Unleash, Flagsmith, ConfigCat, GrowthBook, OpenFeature, and homegrown systems.
This skill does NOT cover: the statistical design of A/B tests (pair with product-team/experiment-design), the paywall/upgrade UX for entitlements (business-growth/paywall-upgrade-cro), or the metric instrumentation needed to make ramp decisions (engineering/observability-designer).
engineering/observability-designer — wire the metrics needed to make ramp decisionsengineering/incident-commander — flag-based rollback during incidentsengineering/chaos-engineering — verify kill switches actually work under fault injectionproduct-team/experiment-design (if available) — statistical design of A/B tests behind flags还没有评价。欢迎分享你的使用感受。
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This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
中文简介正在准备中。当前显示原文说明。
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
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Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
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Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
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Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
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Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
中文简介正在准备中。当前显示原文说明。