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Claude Skills by Dadmin88

github.com/Dadmin88
959 skillsA× 957B× 20 installs76 views
Replication ConsistencyA

Implement replicated state with an explicit consistency model, conflict policy, convergence mechanism, and durability/recovery behavior.

ai-agents
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16
Academy Continuing EducationA

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

ai-agentsgoapi
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16
Docs Information ArchitectureA

Organize documentation by user audience, task, learning stage, concept, reference surface, and maintenance ownership so readers can find the right kind of answer without knowing repository structure.

ai-agentsdocumentation
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16
Docs ValidationA

Validate documentation against the current product by executing commands and flows, checking links, versions, screenshots, prerequisites, terminology, code examples, and claimed outcomes before publication.

ai-agentsdocumentation
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16
How To GuideA

Write a task-oriented how-to guide for an already oriented user, focusing on prerequisites, direct steps, variants, verification, and recovery without turning the page into a tutorial or conceptual essay.

ai-agents
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16
Tutorial WritingA

Write a tutorial that teaches a new user to accomplish one meaningful outcome through a verified sequence, explanatory context, checkpoints, troubleshooting, and final proof rather than documenting every option.

ai-agents
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16
User DocumentationA

Create task-oriented user documentation that explains current product behavior with prerequisites, steps, examples, troubleshooting, and expected results.

ai-agentsgodocumentation
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16
Academy Continuing EducationA

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

ai-agentsgoapi
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16
Content BriefA

Create an editorial content brief that defines audience, purpose, angle, scope, evidence, format, tone, contributors, deliverables, review path, and publication outcome before drafting begins.

ai-agentsgo
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16
Editorial ReviewA

Perform an editorial review for factual integrity, structure, voice, clarity, audience fit, and publication readiness.

ai-agentsrustgo
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16
Fact Check ReviewA

Review the fact-checking quality of an editorial draft by auditing consequential claims, source fit, citation coverage, quote context, current-status evidence, uncertainty, and unresolved contradictions before publication.

ai-agentsaws
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16
HumanizerA

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, passive voice, negative parallelisms, and filler phrases.

ai-agentsrustgo
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16
Publication PlanningA

Plan an editorial publication pipeline across audience needs, themes, formats, cadence, contributors, dependencies, review capacity, distribution, maintenance, and measurable value without filling a calendar for its own sake.

ai-agentsgoperformance
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16
Style GuideA

Create and maintain an editorial style guide covering voice, tone, mechanics, terminology, numbers, capitalization, citations, inclusivity, product names, and exceptions so distributed writers can make consistent decisions.

ai-agentsapidocumentation
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16
Academy Continuing EducationA

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

ai-agentsgoapi
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16
Deliverability ReviewA

Review email deliverability using current sender authentication, list quality, consent and complaint signals, bounce behavior, reputation, content, sending patterns, and provider evidence without relying on folklore.

ai-agentsrustdocumentation
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16
Email CampaignA

Design and write an email campaign around audience state, value, segmentation, sequence logic, deliverability, and measurable action.

ai-agents
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16
Email ExperimentA

Design and evaluate email experiments on message, timing, sequence, audience, or call to action using stable assignment, delivered-population awareness, downstream outcomes, and negative-signal guardrails.

ai-agentsrustgo
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16
Lifecycle EmailA

Design lifecycle email journeys around user state, trigger, value, timing, frequency, suppression, personalization, action, and measurable downstream behavior.

ai-agents
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16
SegmentationA

Build email audience segments from meaningful customer state, behavior, value, lifecycle, consent, and message relevance with stable definitions, exclusions, and measurable differences.

ai-agentsperformance
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16
Academy Continuing EducationA

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

ai-agentsgoapi
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16
Environment ProductionA

Build an environment or scene from narrative/gameplay goals through composition, modular planning, assets, materials, lighting, optimization, and in-engine validation.

ai-agentsgoperformance
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16
Lighting PassA

Create and validate an environment lighting pass for readability, mood, focal hierarchy, gameplay or navigation, material response, state variation, performance, and exposure.

ai-agentsperformance
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Material LanguageA

Define and apply a coherent environment material language through surface categories, roughness and value relationships, wear logic, scale, reuse, variation, and narrative consistency.

ai-agentsgo
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16
Modular KitA

Design a reusable environment kit with coherent dimensions, pivots, snapping, variation, material strategy, seams, collision, LOD, and composition flexibility.

ai-agentsaws
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16
Scene OptimizationA

Optimize environment scenes using measured visibility, geometry, materials, lighting, textures, VFX, culling, streaming, LOD, and instance behavior while preserving composition and gameplay.

ai-agentsrustnode
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16
Academy Continuing EducationA

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

ai-agentsgoapi
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16
Budget TrackingA

Track an operating budget from approved plan through commitments, actuals, forecast, variance, ownership, and evidence so teams can understand remaining capacity without confusing budget with cash.

ai-agentsgo
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16
Cash Flow ForecastA

Forecast organizational cash inflows, outflows, timing, committed obligations, scenarios, and liquidity headroom from current financial evidence without presenting uncertain future amounts as guaranteed.

ai-agents
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16
Expense ReviewA

Review organizational expenses for policy fit, business purpose, evidence, coding, approval, duplication, anomaly, allocation, and recurring-cost opportunity without substituting for accounting judgment.

ai-agentsgo
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16
Financial ControlsA

Design and review operational financial controls around authorization, segregation of duties, reconciliations, evidence, access, change management, exception handling, and periodic verification.

ai-agentsgo
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16
Financial Operations ReviewA

Review operational financial records, budgets, invoices, recurring costs, forecasts, and controls for accuracy and decision usefulness.

ai-agentsdocumentation
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16
Invoice ReconciliationA

Reconcile invoices against purchase or contract terms, receipts or delivery evidence, approvals, accounting records, payments, credits, taxes, and duplicates before operational closeout.

ai-agentsgo
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16
Academy Continuing EducationA

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

ai-agentsgoapi
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16
Accessibility ImplementationA

Implement accessible frontend behavior using semantic structure, native controls, keyboard and focus management, clear names and errors, adaptable visuals, and assistive-technology-aware state changes.

ai-agentsapifrontend
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16
Api IntegrationA

Integrate a frontend with backend or third-party APIs using explicit contracts, resilient async state, safe credential handling, cancellation, retries, and user-visible failure behavior.

ai-agentsrustapi
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16
Frontend ImplementationA

Implement a user-facing interface from product/design specs through state, accessibility, responsive behavior, API integration, tests, and runtime validation.

ai-agentsapifrontend
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16
Frontend TestingA

Build frontend tests that prove user-observable behavior, interaction states, accessibility, and integration contracts at the smallest reliable layer.

ai-agentstestingapi
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16
Performance DebuggingA

Diagnose and improve frontend performance by measuring user-visible symptoms, isolating the dominant bottleneck, changing one high-impact cause at a time, and proving the improvement without regressions.

ai-agentsjavascriptjava
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State ManagementA

Design and implement frontend state ownership, transitions, synchronization, persistence, and async behavior without duplicating sources of truth or creating race-prone UI logic.

ai-agentsapifrontend
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16
Academy Continuing EducationA

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

ai-agentsgoapi
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16
Api Ui ContractA

Define and implement the contract between a user-facing interface and its backend API so user states, server semantics, validation, authorization, concurrency, and compatibility remain coherent across both sides.

ai-agentsnodeapi
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16
Deployment ReadinessA

Prepare a bounded full-stack feature for deployment by reconciling client/server artifacts, migrations, configuration, assets, compatibility, health, observability, rollback, and post-release validation.

ai-agentsgonode
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16
End To End DebuggingA

Diagnose a full-stack defect by following one user operation across rendered UI, client state, network contract, backend logic, persistence, async work, and returned state until the first divergence is identified.

ai-agentsnodedebugging
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16
Fullstack TestingA

Test a bounded full-stack feature with complementary client, server, persistence, contract, and assembled-flow evidence while avoiding duplicate brittle tests at every layer.

ai-agentsnodetesting
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16
Vertical SliceA

Implement a bounded end-to-end feature slice across UI, API, domain logic, and persistence while preserving contracts and avoiding unnecessary cross-system redesign.

ai-agentsapifrontend
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16
Academy Continuing EducationA

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

ai-agentsgoapi
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16
BalancingA

Balance game systems using explicit goals, comparable metrics, parameter sensitivity, simulation, controlled playtests, telemetry, and dominant-strategy analysis rather than tuning by feel alone.

ai-agentsgoperformance
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16
Economy DesignA

Design a game economy around sources, sinks, currencies, resources, exchange, scarcity, pacing, player incentives, inflation, exploits, and recovery using explicit flow models.

ai-agents
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16
Game System DesignA

Design a game mechanic or system around player goals, rules, feedback, progression, balance, failure, and interaction with the broader game loop.

ai-agentsgo
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16