Amin Borghei
5e4f0f8a9c
feat(engineering): modernize AI skills for 2026 agentic capabilities (#25)
Audit of the library's AI/LLM skills found near-zero coverage of the newest
agentic features. Adds 4 skills and upgrades 4, taking the library to
343 skills / 17 domains / 786 Python tools (engineering 82 -> 86).
New skills (each: stdlib-only tools + reference knowledge bases):
- extended-thinking-architect — reasoning-effort / thinking-budget decisions
- batch-api-orchestrator — batch vs realtime, bulk job design
- computer-use-automation — GUI/browser agent loop, reliability + safety
- agentic-evaluation-framework — LLM-as-judge rubrics + pairwise ranking
Enhanced:
- llm-cost-optimizer — prompt caching / batch / reasoning-effort economics
- context-engine — memory tool, context editing/compaction, 1M-context
- agent-workflow-designer — subagent scoping + multi-model cost estimation
- mcp-server-builder — streaming, batch, computer-use tool patterns
All content is model-agnostic and principle-focused (no hardcoded prices or
invented API signatures); all tools are stdlib-only with --json output and were
compiled + run. Manifests, website (343 skill pages), and prose regenerated.
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