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SkillsMP has collected 552 skills from jmagly/aiwg. Open a skill to review its source and details.
Showing 40 of 552 collected skills.
WCAG accessibility analysis for color palettes including contrast ratios, compliance checking, and remediation suggestions. Use when user needs to verify colors meet accessibility standards.
Generate, analyze, compare, export, and suggest color palettes using color theory. Use when user asks about colors, palettes, color schemes, or needs help choosing colors for a project.
Research current color trends from Pantone, architecture, film, and design. Use when user asks about trending colors, popular palettes, or wants research-backed color inspiration.
Prompt users tastefully to star AIWG after a successful regenerate or intake workflow.
Research, compare, sample, select, persist, adapt, rotate, and archive reusable visual themes and design templates
Search the local research corpus, read matching findings, and synthesize an answer with inline citations to REF-XXX sources. The "query" operation for the research pipeline.
Crash-resilient external agent loop with state persistence and CI/CD integration
Detect requests for iterative autonomous agent loops and route to the appropriate loop executor
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
Infer measurable completion criteria for an agent-loop task from project docs, code, and AIWG standards when the user has not supplied --completion explicitly
Abort a running agent loop and optionally revert changes
Show analytics and metrics from agent loop execution history
Attach to a running agent loop's live output stream
View and configure agent loop settings — show, set, reset, and apply named presets
Crash-resilient external loop with state persistence and CI/CD integration
Manage Al semantic memory entries — list, query, and clear lessons learned across loop iterations
View and manage agent loop reflections and episodic memory
Resume an interrupted agent loop from last checkpoint
Execute iterative task loop until completion criteria are met - iteration beats perfection
Check status of current or previous agent loop
Inject relevant past reflections into agent context at iteration start so agents learn from prior mistakes without repeating them
Enable and explain the reusable human-in-the-loop gates used by persistent agent loops for destructive actions, false-positive overrides, and recovery escalation.
Run a development-focused health check on the AIWG repository structure
Switch AIWG CLI to dev mode (local repo source), rebuild, deploy dev tools, and run a health check — all via the Steward agent
Create a new AIWG addon with AI-guided setup
Create a new agent with AI-guided expertise definition following the Agent Design Bible
Create a new slash command with AI-guided behavior definition
Create a new AIWG extension (framework expansion pack) with AI-guided setup
Comma-separated phase names
Enable interactive design mode
Auto-fix discoverable issues
Validate addon, framework, or extension structure and manifest
Verify @file references in AIWG skills and agents against the linking contract — per-file or corpus-wide, with optional auto-fix
Validate an entire AIWG addon package for completeness and release readiness
Validate a single AIWG component (skill, agent, or command) for completeness and correctness
Identify flaky tests from CI history and test execution patterns. Use when debugging intermittent test failures, auditing test reliability, or improving CI stability.
Suggest and apply fixes for flaky tests based on detected patterns. Use after flaky-detect identifies unreliable tests that need repair.