Create and maintain regression test baselines for comparison and drift detection across versioned snapshots
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jmagly/aiwg - Page 13
SkillsMP has collected 552 skills from jmagly/aiwg. Open a skill to review its source and details.
jmagly/aiwgShowing 40 of 552 collected skills.
Identify the commit that introduced a regression using git bisect with automated test execution and blame context
Integrate regression testing into CI/CD pipelines with baseline comparison and merge blocking on failure
Improve regression detection over time through cross-task pattern recognition, test prioritization, and historical analysis
Track and analyze regression statistics, trends, hotspots, and health indicators across test suites
Detect performance regressions by comparing benchmarks across versions with latency, throughput, and statistical significance analysis
Generate comprehensive regression analysis reports combining bisect, baseline, and metrics data with actionable recommendations
Detect visual and UI regressions through screenshot comparison and pixel-diff analysis across browsers and viewports
Generate properly formatted citation from research corpus
Analyze team retrospectives for insights
Continuously identify, assess, track, and retire risks throughout the SDLC with register and RAG reporting
Generate SDLC reports including iteration status, metrics dashboards, and executive summaries across phases
Perform comprehensive security assessment
One-command TDD infrastructure setup with pre-commit hooks and CI coverage gates
Evaluate architectural decisions using Tree of Thoughts exploration
Trigger Tree of Thoughts exploration when agents face architectural decisions with multiple valid approaches
Verify bidirectional traceability from requirements to code to tests and identify coverage gaps and orphan artifacts
Generate troubleshooting documentation
Read a multi-service OpenProse program directory, analyze all service contracts, and generate the Forme wiring manifest for inspection and debugging
Execute an OpenProse program within the current AIWG session, following the two-phase model (Forme wiring + Prose VM execution)
Split a file into overlapping chunks suitable for parallel fanout processing and emit a manifest describing each chunk
Prepare source content for RLM processing by discovering files, chunking each one, and writing a unified searchable manifest
Document missing content in media archives with standardized GAP-NOTE markers that guide acquisition and measure completeness
Generate an aggregate agent quality report from evaluation results, showing scores, regressions, and recommendations
View and manage agent loop reflections and episodic memory
Inject relevant past reflections into agent context at iteration start so agents learn from prior mistakes without repeating them
Health-check any consumer's semantic memory by composing structural and domain-specific checks
Append a structured event to a consumer's semantic memory log
Initialize AIWG configuration for an existing project by creating .aiwg/aiwg.config with provider and script entries
Generate a human-readable Markdown view from a consumer's JSON Lines event log
Submit a bug report, feature request, or feedback to the AIWG GitHub repository — prefills system context automatically
Start an agentic session with pre-flight health checks, auto-repair, optional MCP injection, and provider launch
Manage the AIWG MCP server — start it, configure clients, and maintain the registered server registry
Automatically execute tests when code-generating agents modify source files, enforcing the execute-before-return pattern
Enable agent loops to learn from similar past tasks and share patterns across loops
Query and manage the executable feedback debug memory
Execute tests on generated code and iterate until passing
Show analytics and metrics from agent loop execution history
Execute a `setup.aiwg.io/v1` SetupManifest, performing cross-platform installati
Show daemon health, active sessions, task queue, and subsystem status