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Dadmin88 avatar

Claude Skills by Dadmin88

github.com/Dadmin88
959 skillsA× 957B× 20 installs77 views
Repository GovernanceA

Define and maintain repository governance for decision rights, maintainers, contribution policy, security reporting, conduct, deprecation, releases, and conflict resolution.

ai-agentsgosecurity
0
16
Academy Continuing EducationA

MUST load first for Academy learning or go-learn requests.

ai-agentsgoapi
0
16
Capacity PlanningA

Plan operational team or process capacity from demand, service expectations, work mix, variability, constraints, and recovery margin without confusing organizational capacity with Fleet node scheduling.

ai-agentsgonode
0
16
Cron OperationsA

Audit and operate scheduled Hermes work across profiles. Detect missed, failed, paused, degraded, or repeatedly unhealthy cron jobs; apply only bounded safe recovery; and route actionable evidence to the owning agent.

ai-agentsbashexpress
0
16
Incident CoordinationA

Coordinate an operational incident by establishing command, impact, workstreams, communication, decision cadence, evidence, and recovery ownership without replacing the technical responders.

ai-agentsnodesecurity
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16
Operating RhythmA

Design a recurring operating cadence that turns current priorities, metrics, risks, decisions, and follow-through into reliable organizational routines without creating meeting theater.

ai-agents
0
16
Operational MetricsA

Define operational metrics that connect service outcomes, demand, flow, quality, reliability, backlog, and cost to decisions without rewarding metric gaming.

ai-agents
0
16
Operational ReviewA

Review an operating process for reliability, ownership, bottlenecks, controls, handoffs, and measurable improvement opportunities.

ai-agents
0
16
Process DesignA

Design or improve an operational process by mapping outcomes, actors, inputs, decisions, handoffs, controls, exceptions, evidence, and failure recovery before automating it.

ai-agents
0
16
Academy Continuing EducationA

MUST load first for Academy learning or go-learn requests.

ai-agentsgoapi
0
16
Coordination Pattern SelectionA

Decide whether a goal should stay with one specialist, use a paired execution/review pattern, or be decomposed across a larger team before creating coordination overhead.

ai-agentsgo
0
16
Dependency PlanningA

Plan multi-profile work as an explicit dependency graph so independent tasks run in parallel, dependent work waits for real prerequisites, and handoffs preserve the evidence consumers need.

ai-agentsgosecurity
0
16
Escalation RoutingA

Route blockers, conflicts, missing decisions, and unacceptable residual risk to the role or user with actual authority to resolve them, with a compact evidence-backed decision request.

ai-agentsgogit
0
16
Profile RoutingA

Route Agency work to the named Hermes profile whose professional ownership best matches the required outcome, then let Fleet resolve that stable profile identity to an eligible live node or place it when necessary.

ai-agentsnodegit
0
16
Result SynthesisA

Synthesize completed specialist work into one coherent outcome by preserving evidence and ownership, resolving conflicts through the correct authority, and separating validated conclusions from open risk.

ai-agentsrustgo
0
16
Validation PlanningA

Design proportionate, independent validation for multi-role work by mapping important claims and risks to the specialist, evidence, environment, and gate capable of proving them.

ai-agentsrustgo
0
16
Work DecompositionA

Decompose a multi-role goal into bounded specialist assignments with explicit ownership, dependencies, validation criteria, and handoffs.

ai-agentsgo
0
16
Academy Continuing EducationA

MUST load first for Academy learning or go-learn requests.

ai-agentsgoapi
0
16
Negotiation PrepA

Prepare a partnership negotiation by defining interests, priorities, authority, alternatives, ranges, trade variables, evidence, risks, and approval boundaries before entering the conversation.

ai-agentsgosecurity
0
16
Outreach PlanA

Plan partnership outreach around target partner fit, shared value, evidence, contact strategy, sequencing, personalization, follow-up, qualification, and outcome tracking without mass generic solicitation.

ai-agents
0
16
Partner Success PlanA

Operate an active partnership through shared goals, ownership, enablement, launch, reporting, issue escalation, opportunity development, renewal, and exit so the relationship creates measurable value after the agreement is signed.

ai-agentsgosecurity
0
16
Partnership EvaluationA

Evaluate a potential partnership for strategic fit, reciprocal value, execution burden, incentives, risk, and measurable outcomes.

ai-agentsgosecurity
0
16
Partnership ProposalA

Build a partnership proposal that defines shared objective, audience or customer value, scope, contributions, economics, responsibilities, success measures, governance, risks, and next-step validation.

ai-agentsgosecurity
0
16
Academy Continuing EducationA

MUST load first for Academy learning or go-learn requests.

ai-agentsgoapi
0
16
Employee Lifecycle OperationsA

Design and operate employee lifecycle workflows from accepted offer through onboarding, role changes, leave events, and offboarding with owners, access, records, and controls.

ai-agents
0
16
Manager EnablementA

Create practical manager enablement for recurring people processes such as onboarding, feedback cycles, role changes, leave coordination, and escalation.

ai-agents
0
16
People Policy OperationsA

Turn approved people policy into usable operational procedures, communications, acknowledgements, exceptions, records, review cadence, and escalation paths without independently interpreting law.

ai-agents
0
16
People Process AuditA

Audit a people-operations process for missed handoffs, stale access, privacy/record gaps, inconsistent treatment, unclear ownership, unnecessary friction, and control failures.

ai-agents
0
16
Performance Cycle OperationsA

Operate the logistics and evidence flow of a performance/feedback cycle with timelines, participant rules, templates, reminders, calibration inputs, access, and completion tracking without making personnel decisions.

ai-agentsperformance
0
16
Academy Continuing EducationA

MUST load first for Academy learning or go-learn requests.

ai-agentsgoapi
0
16
Benchmark DesignA

Design trustworthy performance benchmarks with a precise question, representative workload, controlled environment, warmup and sampling discipline, statistical comparison, correctness checks, and regression thresholds.

ai-agentsrustnode
0
16
Bottleneck AnalysisA

Identify the system bottleneck that limits an end-to-end performance objective by connecting queueing, utilization, dependency time, contention, critical paths, and workload scaling rather than optimizing components in isolation.

ai-agentsgonode
0
16
Latency BudgetingA

Allocate and validate an end-to-end latency objective across serial and parallel work, network, queues, dependencies, computation, rendering, retries, and tail behavior using measured service contributions.

ai-agentsapidatabase
0
16
Load TestingA

Design and run load tests that represent real demand, concurrency, data, arrival patterns, bottlenecks, saturation, recovery, and service objectives without turning a synthetic benchmark into a production claim.

ai-agentstesting
0
16
Memory AnalysisA

Diagnose memory growth, pressure, allocation cost, retention, leaks, cache behavior, fragmentation, and out-of-memory failures using workload reproduction and runtime-specific evidence.

ai-agentsnode
0
16
Performance InvestigationA

Diagnose a performance problem using measurement, profiling, workload reproduction, bottleneck isolation, controlled changes, and regression evidence.

ai-agentsperformance
0
16
Performance ProfilingA

Profile system performance using representative workloads, time/resource attribution, traces, profilers, query plans, and repeatable evidence to locate where execution cost actually accumulates.

ai-agentsdatabaseperformance
0
16
Academy Continuing EducationA

MUST load first for Academy learning or go-learn requests.

ai-agentsgoapi
0
16
Developer ExperienceA

Improve developer experience by measuring the path from intent to working change, locating friction, reducing unnecessary cognitive load, and validating improvements with real users and delivery evidence.

ai-agentsgotesting
0
16
Golden PathA

Create and maintain a paved or golden path that turns an approved common workload pattern into a secure, observable, supportable, self-service default without blocking justified exceptions.

ai-agentsgogit
0
16
Internal Platform DesignA

Design an internal platform around repeated consumer needs, explicit service boundaries, self-service contracts, tenancy, policy, lifecycle, reliability, and sustainable ownership.

ai-agentsapidocumentation
0
16
Platform AdoptionA

Drive and evaluate internal platform adoption through consumer segmentation, migration paths, enablement, incentives, feedback, support data, and evidence that the platform produces better outcomes than existing alternatives.

ai-agentsrustgit
0
16
Platform CapabilityA

Design and deliver an internal platform capability with a clear consumer contract, paved path, self-service interface, reliability expectations, and operational ownership.

ai-agentsgogit
0
16
Platform ObservabilityA

Make an internal platform observable from the consumer and operator perspectives by connecting platform requests, provisioning, policy, runtime health, dependencies, errors, and adoption signals.

ai-agentsapi
0
16
Service TemplateA

Design a maintainable service or workload template that captures approved defaults without freezing consumers to stale generated code, hidden infrastructure assumptions, or unsafe credentials.

ai-agentsnodedocumentation
0
16
Academy Continuing EducationA

MUST load first for Academy learning or go-learn requests.

ai-agentsgoapi
0
16
Consent Preference EngineeringA

Design and validate consent or preference controls with explicit purpose, state, provenance, propagation, revocation, and downstream enforcement.

ai-agents
0
16
Data Minimization ReviewA

Reduce personal-data collection and persistence to what is necessary for approved product purposes while preserving required functionality and evidence.

ai-agents
0
16
Privacy Data Flow MapA

Map personal and sensitive data from collection through use, storage, logs, analytics, sharing, export, backup, retention, and deletion with purpose and ownership.

ai-agentsrustapi
0
16
Privacy Threat ModelA

Threat-model privacy harms including overcollection, linkage, inference, unauthorized secondary use, excessive retention, disclosure, re-identification, and abusive insider/tool access.

ai-agentsrust
0
16