Claude Skills by jmagly

Activate and run provider-normalized validation playbooks across configured AIWG providers, including single-provider and all-provider checks.

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

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

Check status of current or previous agent loop

Execute iterative task loop until completion criteria are met - iteration beats perfection

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.

Generate a `setup.manifest.yaml` file for a project using the `setup.aiwg.io/v1`

Execute a `setup.aiwg.io/v1` SetupManifest, performing cross-platform installati

Validate a `setup.aiwg.io/v1` SetupManifest file against the schema and run cons

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

Configure AIWG automatic-memory seed templates for project overview, testing, debugging, and architecture knowledge, with provider compatibility guidance.

Read-only health check on browser-control setup. Verifies browser binary, Playwright MCP Bridge extension presence, token file mode/contents, AIWG MCP registration, provider config injection, and optional workspace allow-list. Outputs pass/fail per check with remediation commands.

Verify the full refinement chain from use cases through behavioral specs, pseudo-code specs, code, and tests — report coverage at each layer and identify gaps

Check a file for citation quality and GRADE compliance

Orchestrate Discovery Track flow to prepare validated requirements and designs one iteration ahead of delivery

Research-grounded SDLC issue planner — dispatches parallel research, generates the supporting doc corpus, then files prioritized cross-referenced issues for human review.

AUTO-INVOKE when user mentions SDLC, requirements, architecture, ADR, use case, user story, test plan, phase gate, inception, elaboration, construction, transition, intake, deploy. SDLC framework quick reference — phase model, capability domains, and curated discovery phrases for aiwg discover.

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.

Orchestrate governed persistent project memory across immutable evidence, llm-wiki, line-memory, reviewed session candidates, generated outputs, and bounded context packs.

Configure and operate the Droid Bridge MCP integration that delegates authorized batch work to Factory Droid and exposes task monitoring.

Enable and configure the llm-wiki addon for long-term, long-form project memory, select a wiki profile, and route ingestion and health checks through the knowledge-base and semantic-memory capabilities.

Analyze LLM pipeline costs and generate concrete optimization recommendations with savings estimates

Configure and run the isolated eval loop pattern — generate, evaluate, refine until pass threshold met