production-ops
Skill0 starsChanged 47 days agoMITView on GitHub
Use when operating deployed AI systems — monitoring, drift, observability, incident response, cost controls, security posture, provider-fallback resilience, rollout/rollback. Do NOT use for scheduled/autonomous job design (see skill ai-automation).
In this repository25 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- google-ads-managementSkill
- meta-ads-managementSkill
- tiktok-ads-managementSkill
- ai-automationSkill
- ai-researchSkill
- ai-system-designSkill
- context-engineeringSkill
- eval-harnessSkill
- implementation-verificationSkill
- inference-optimizationSkill
- model-selection-hfSkill
- model-servingSkill
- rag-engineeringSkill
- tool-and-mcp-designSkill
- training-data-engineeringSkill
- training-peftSkill
- jev-browserSkill
- premiere-pro-mcpSkill
- suno-music-generatorSkill
- growth-loopSkill
- mobile-store-releaseSkill
- mobile-ui-reviewSkill
- store-listing-assetsSkill
The file
We split this skill into the rules it gives an agent
12 rules. About 0 are common, 11 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈11
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Control change: Use versioned artifacts, staged rollout, canaries, automated stop conditions, rollback criteria, and independently verified …
- Distinctive: line 25
Exercise readiness: Run health, load, dependency-failure, fallback, security, drift, incident, and rollback probes against the target …
- Distinctive: line 43
Treat provider fallback as a behavior change.
- Distinctive: line 50
Do not declare readiness from configuration review alone.
- Distinctive: line 51
Do not use averages alone for tail latency, failure bursts, cost spikes, or quality regressions.
- Distinctive: line 52
Do not retry every failure or route blindly to a fallback provider.
- Distinctive: line 53
Do not page on signals without an owner and executable response.
- Distinctive: line 54
Do not perform an emergency change without scope, audit, verification, and rollback criteria.
- Distinctive: line 55
Do not label missing telemetry, drills, or rollback evidence as a pass.
- Very specific: line 62
If telemetry or cost data is unavailable, produce the instrumentation contract and mark affected SLO, drift, and budget controls UNVERIFIED.
- Distinctive: line 63
If a safe drill environment or deployment access is unavailable, review procedures and provide exact probes, but do not claim fallback or …
- Distinctive: line 64
If security authority or incident ownership is unresolved, block production-readiness approval and ask for the named owner or decision.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Production Operations
Operating Boundary
- Own production readiness, service health, quality and drift signals, incidents, cost controls, security posture, operational resilience, and rollout/rollback.
- For serving-engine and topology selection, see skill model-serving.
- For evaluation design, see skill eval-harness.
- For scheduled or autonomous workflows, see skill ai-automation.
- For current provider, platform, pricing, and security claims, see skill ai-research.
Decision Workflow
- Define the service contract. Record owners, users, critical journeys, data classes, dependencies, SLOs, error budget, recovery objectives, and unacceptable outcomes.
- Map production risks. Rank availability, latency, output-quality, drift, safety, privacy, security, dependency, quota, and cost risks by impact and detectability.
- Design signals and actions together. For each risk, define a measurable signal, threshold, window, owner, runbook, and escalation. Use ops-readiness-checklist.md.
- Bound resilience. Define timeouts, retries, circuit breaking, load shedding, provider fallback, state reconciliation, and degraded modes. Gate every fallback with compatibility and quality evidence.
- Prepare incidents. Establish severity, command ownership, containment, communication, evidence preservation, recovery, and post-incident review.
- Control change. Use versioned artifacts, staged rollout, canaries, automated stop conditions, rollback criteria, and independently verified rollback steps.
- Control cost and capacity. Set budgets, quotas, unit-cost signals, saturation forecasts, anomaly alerts, and an explicit response to budget exhaustion.
- Exercise readiness. Run health, load, dependency-failure, fallback, security, drift, incident, and rollback probes against the target environment before declaring readiness.
Required Deliverable
Return:
- the service and ownership contract;
- an SLO/error-budget table tied to user journeys;
- a risk-to-signal-to-runbook map;
- resilience and provider-fallback gates;
- incident, rollout, rollback, and cost-control procedures;
- drill output and observed telemetry;
- a readiness verdict with every unexercised item labeled
UNVERIFIED.
Decision Rules
- Derive alerts from user impact and actionable runbooks, not from available dashboard widgets.
- Separate system health, model/output quality, safety, drift, and business-impact signals.
- Treat provider fallback as a behavior change; validate schema, semantics, safety, latency, capacity, and cost before enabling it.
- Fail closed for authorization, privacy, or data-residency uncertainty; degrade explicitly for availability or quality pressure.
- Require a rollback path before rollout and verify it using the same artifact and environment boundaries as production.
- Preserve audit and incident evidence while redacting credentials and unnecessary sensitive content.
Failure Modes
- Do not declare readiness from configuration review alone.
- Do not use averages alone for tail latency, failure bursts, cost spikes, or quality regressions.
- Do not retry every failure or route blindly to a fallback provider.
- Do not page on signals without an owner and executable response.
- Do not perform an emergency change without scope, audit, verification, and rollback criteria.
- Do not label missing telemetry, drills, or rollback evidence as a pass.
Tool Requirements & Degradation
- Require production-like telemetry, deployment state, dependency health, cost/usage data, security findings, and runbook access for readiness claims.
- Require a controlled environment and authorized deployment controls for fallback, incident, and rollback drills.
- For current provider limits, terms, pricing, vulnerabilities, or platform behavior, see skill ai-research.
- If telemetry or cost data is unavailable, produce the instrumentation contract and mark affected SLO, drift, and budget controls
UNVERIFIED; do not infer health from absence of alerts. - If a safe drill environment or deployment access is unavailable, review procedures and provide exact probes, but do not claim fallback or rollback readiness.
- If security authority or incident ownership is unresolved, block production-readiness approval and ask for the named owner or decision.
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