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Claude Skills by jmagly
github.com/jmagly837 skills58 installs3,193 views
- Risk CycleContinuous risk identification, assessment, tracking, and retirement throughout SDLC.Votes: 0GitHub stars: 211
- Sdlc ReportsGenerate comprehensive SDLC reports including iteration status, metrics dashboards, and executive summaries.Votes: 0GitHub stars: 211
- Security AssessmentExecute threat modeling, vulnerability scanning, and security control validation.Votes: 0GitHub stars: 211
- Test CoverageAnalyze test coverage, identify gaps, and recommend test improvements.Votes: 0GitHub stars: 211
- Traceability CheckVerify bidirectional traceability from requirements to code to tests.Votes: 0GitHub stars: 211
- Agent Loop ExtCrash-resilient external agent loop with state persistence and CI/CD integrationVotes: 0GitHub stars: 211
- Agent LoopDetect requests for iterative autonomous agent loops and route to the appropriate loop executorVotes: 0GitHub stars: 211
- Debug MemoryQuery and manage the executable feedback debug memoryVotes: 0GitHub stars: 211
- Execute FeedbackExecute tests on generated code and iterate until passingVotes: 0GitHub stars: 211
- Infer Completion CriteriaInfer measurable completion criteria for an agent-loop task from project docs, code, and AIWG standards when the user has not supplied --completion explicitlyVotes: 0GitHub stars: 211
- Ralph AbortAbort a running agent loop and optionally revert changesVotes: 0GitHub stars: 211
- Ralph AnalyticsShow analytics and metrics from agent loop execution historyVotes: 0GitHub stars: 211
- Ralph AttachAttach to a running agent loop's live output streamVotes: 0GitHub stars: 211
- Ralph ConfigView and configure agent loop settings — show, set, reset, and apply named presetsVotes: 0GitHub stars: 211
- Ralph ExternalCrash-resilient external loop with state persistence and CI/CD integrationVotes: 0GitHub stars: 211
- Ralph MemoryManage Al semantic memory entries — list, query, and clear lessons learned across loop iterationsVotes: 0GitHub stars: 211
- Ralph ResumeResume an interrupted agent loop from last checkpointVotes: 0GitHub stars: 211
- Ralph StatusCheck status of current or previous agent loopVotes: 0GitHub stars: 211
- RalphExecute iterative task loop until completion criteria are met - iteration beats perfectionVotes: 0GitHub stars: 211
- Setup GenerateGenerate a `setup.manifest.yaml` file for a project using the `setup.aiwg.io/v1`Votes: 0GitHub stars: 211
- Setup RunExecute a `setup.aiwg.io/v1` SetupManifest, performing cross-platform installatiVotes: 0GitHub stars: 211
- Setup ValidateValidate a `setup.aiwg.io/v1` SetupManifest file against the schema and run consVotes: 0GitHub stars: 211
- Cost OptimizerAnalyze LLM pipeline costs and generate concrete optimization recommendations with savings estimatesVotes: 0GitHub stars: 211
- Eval LoopConfigure and run the isolated eval loop pattern — generate, evaluate, refine until pass threshold metVotes: 0GitHub stars: 211
- Pattern SelectorRecommends the right LLM pipeline pattern for a use case — simple chain, embedded agent, state machine, RAG, eval loop, or dynamic promptVotes: 0GitHub stars: 211
- Pipeline DesignInteractive LLM inference pipeline design — elicits requirements, recommends pattern, scaffolds production-ready artifactsVotes: 0GitHub stars: 211
- Pipeline StatusShow status overview of all LLM inference pipelines in the current projectVotes: 0GitHub stars: 211
- ProductionizeProduction readiness review — strip prototype scaffolding, harden code, validate cost model, generate prod/ artifactsVotes: 0GitHub stars: 211
- Prompt EngineerProduction prompt engineering — write, iterate, and refine prompts with built-in eval loop feedbackVotes: 0GitHub stars: 211
- Rlm BatchParallel fan-out processing - spawn multiple sub-agents for chunked context processingVotes: 0GitHub stars: 211
- Rlm ModeDetect requests for recursive decomposition and large-scale operations that benefit from RLM processingVotes: 0GitHub stars: 211
- Rlm QuerySpawn sub-agent to process focused context and return structured resultVotes: 0GitHub stars: 211
- Uat ExecuteExecute a UAT plan against live MCP connections, tracking pass/fail per test and filing issues on failureVotes: 0GitHub stars: 211
- Uat GenerateDiscover MCP tools and generate a phased UAT plan with agent-executable test specificationsVotes: 0GitHub stars: 211
- Uat ReportGenerate UAT completion report with tool coverage matrix, pass/fail metrics, and regression detectionVotes: 0GitHub stars: 211
- Aiwg OrchestrateRoute structured artifact work to AIWG workflows via MCP with zero parent context costVotes: 0GitHub stars: 211
- Session ExploreInvestigate past AI session activity with cited catalog search, timelines, tool analytics, and bounded comparisons across providersVotes: 0GitHub stars: 211
- Session HarvestExtract cited decisions, requirements, risks, entities, and relationships from session history and review exact candidate versions before memory promotionVotes: 0GitHub stars: 211
- Dataset Capability RecommendRecommend an independently composable dataset capability profile with plain-language rationale and safe defaults.Votes: 0GitHub stars: 211
- Dataset ExportPlan and delegate a governed portable dataset or lineage export with explicit standards coverage and loss reporting.Votes: 0GitHub stars: 211
- Dataset IngestDelegate approved one-shot or incremental dataset execution to the shared orchestration service with resumable receipts.Votes: 0GitHub stars: 211
- Dataset IntakeTurn a source path or URI and desired outcome into a governed dataset intake envelope for any AIWG domain.Votes: 0GitHub stars: 211
- Dataset IntelligenceRoute any dataset, custom indexing, traceability, provenance, lineage, synchronization, or retirement request through one governed workflow. Use when a user points AIWG at data and wants an outcome without knowing schema or indexing terminology.Votes: 0GitHub stars: 211
- Dataset Plan ReviewReview an immutable dataset plan, impacts, capability degradation, and approval requirements before execution.Votes: 0GitHub stars: 211
- Dataset RetirePlan and delegate safe dataset retirement, tombstoning, derived-artifact cleanup, and reconciliation.Votes: 0GitHub stars: 211
- Dataset Source AssessPlan and review a bounded, non-mutating dataset source check and redacted preview.Votes: 0GitHub stars: 211
- Dataset TraceExplain dataset, record, field, index, graph, and export lineage using evidence-bearing bounded queries.Votes: 0GitHub stars: 211
- Dataset VerifyVerify a dataset plan or run receipt, checkpoint continuity, provenance completeness, and derived-artifact freshness.Votes: 0GitHub stars: 211
- Analyze Network CaptureAnalyze an authorized saved PCAP or PCAPNG with bounded TShark recipes and produce governed frame and stream evidence. Use for packet troubleshooting, protocol inspection, or optional local Termshark review.Votes: 0GitHub stars: 211
- Schema AuthorAuthor and register a canonical governed schema with fixtures and consumer metadata from a schema brief.Votes: 0GitHub stars: 211