Topic: anthropic
9,221 skills in this topic.
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traceability-check
jmagly/aiwg 107
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contract-manifest
jmagly/aiwg 107
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intake-from-campaign
Scan existing campaign materials, media kit, or marketing assets and generate intake documents by analyzing content, brand elements, and performance data
jmagly/aiwg 107
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doc-consolidate
Crawl repository for scattered docs and consolidate into categorized reference index in .aiwg/docs/
jmagly/aiwg 107
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marketing-intake
jmagly/aiwg 107
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issue-auto-sync
jmagly/aiwg 107
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project-status
Analyze project state from .aiwg/ artifacts and provide contextual status with recommended next steps
jmagly/aiwg 107
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project-timeline-simulator
jmagly/aiwg 107
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ralph-resume
jmagly/aiwg 107
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flow-test-strategy-execution
Orchestrate comprehensive test strategy with test suite execution, coverage validation, defect triage, and regression analysis
jmagly/aiwg 107
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regression-auto-baseline
jmagly/aiwg 107
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rlm-query
jmagly/aiwg 107
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regression-baseline
jmagly/aiwg 107
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workspace-reset
Wipe .aiwg/ directory and optionally restart with fresh intake
jmagly/aiwg 107
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voice-create
jmagly/aiwg 107
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ralph-memory
Manage Al semantic memory entries — list, query, and clear lessons learned across loop iterations
jmagly/aiwg 107
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ralph-config
View and configure agent loop settings — show, set, reset, and apply named presets
jmagly/aiwg 107
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test-coverage
jmagly/aiwg 107
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flow-performance-optimization
jmagly/aiwg 107
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prose-validate
Validate an OpenProse program file against Prose contract grammar without executing it — checks frontmatter, contract structure, service references, and strategy syntax
jmagly/aiwg 107
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remove
jmagly/aiwg 107
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crisis-response
jmagly/aiwg 107
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codebase-health
jmagly/aiwg 107
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pytest-runner
Execute Python tests with pytest, supporting fixtures, markers, coverage, and parallel execution. Use for Python test automation.
jmagly/aiwg 107