Topic: developer-tools
13,276 skills in this topic.
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pr-launch
jmagly/aiwg 107
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performance-digest
jmagly/aiwg 107
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marketing-status
jmagly/aiwg 107
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marketing-retrospective
jmagly/aiwg 107
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marketing-intake-wizard
Generate or complete marketing intake forms (campaign-intake, brand-profile, option-matrix) with interactive questioning and optional guidance
jmagly/aiwg 107
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catalog
jmagly/aiwg 107
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version
jmagly/aiwg 107
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cost-history
jmagly/aiwg 107
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validate-metadata
jmagly/aiwg 107
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snapshot
jmagly/aiwg 107
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source-unifier
Merge multiple documentation sources (docs, GitHub, PDF) with conflict detection. Use when combining docs + code for complete skill coverage.
jmagly/aiwg 107
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pdf-extractor
Extract text, tables, and images from PDF files. Use when converting PDF documentation, manuals, or reports to searchable text.
jmagly/aiwg 107
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llms-txt-support
Detect and use llms.txt files for LLM-optimized documentation. Use when checking if a site has LLM-ready docs before scraping.
jmagly/aiwg 107
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doc-splitter
Split large documentation (10K+ pages) into focused sub-skills with intelligent routing. Use for massive doc sites like Godot, AWS, or MSDN.
jmagly/aiwg 107
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doc-scraper
Scrape documentation websites into organized reference files. Use when converting docs sites to searchable references or building Claude skills.
jmagly/aiwg 107
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behavior
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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pattern-selector
Recommends the right LLM pipeline pattern for a use case — simple chain, embedded agent, state machine, RAG, eval loop, or dynamic prompt
jmagly/aiwg 107
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eval-loop
Configure and run the isolated eval loop pattern — generate, evaluate, refine until pass threshold met
jmagly/aiwg 107
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cost-optimizer
Analyze LLM pipeline costs and generate concrete optimization recommendations with savings estimates
jmagly/aiwg 107
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iteration-control
jmagly/aiwg 107
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hook-regenerate
Rebuild AIWG hook files from currently installed framework manifests
jmagly/aiwg 107
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cloud-forensics
AWS, Azure, and GCP forensic investigation covering audit logs, IAM review, storage access, network flows, and compute instance forensics
jmagly/aiwg 107
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container-forensics
Docker, containerd/CRI-O, and Kubernetes forensic investigation covering container inventory (docker and crictl), privilege checks, image verification, layer analysis (dive), escape detection, eBPF runtime monitoring (Falco, Tetragon, Tracee), K8s RBAC audit, etcd security audit, and API server audit log analysis
jmagly/aiwg 107