architect

Solid

Designing new skill agents via gap analysis, overlap detection, SKILL.md + reference generation, and Nexus integration. Not for task orchestration (Nexus) or format-only audits (Gauge).

AI & Automation 72 stars 14 forks Updated today MIT

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Quality Score: 85/100

Stars 20%
62
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

<!-- CAPABILITIES_SUMMARY: - gap_analysis: Ecosystem gap detection and new-agent opportunity identification - overlap_detection: Cross-agent responsibility overlap scoring and resolution - skill_package_design: SKILL.md + reference file generation for new agents - nexus_integration: Hub-and-spoke routing compatibility and AUTORUN support - compression_review: Context-cost reduction with 4-axis equivalence preservation - self_evolution: Governed self-improvement with safety levels and rollback - interoperability_awareness: MCP/A2A/NIST AISI/Agent Skills open standard protocol awareness and compatibility field guidance - validation: Generated-skill quality verification against checklist - naming: Agent naming with syllable scoring and conflict checks - ecosystem_architecture: Anti-pattern detection for multi-agent systems (Bag-of-Agents, role overlap, topology gaps) - context_engineering: Context-aware agent design prioritizing information architecture over prompt tuning, with intelligence harnessing principles (general tools, scaffold audit, boundary-aware design) - opus_5_authoring: Generated-skill authoring tuned for Opus 5 defaults (front-loaded context, explicit length control, tool-use rationale, subagent delegation caps, thinking-on assumptions, effort-level awareness against a `high` default, delegation-engineer framing, scope bounds, no self-verification scaffolding) COLLABORATION_PATTERNS: - User -> Architect: New agent requests, skill improvement requests - Atlas ->...

Details

Author
simota
Repository
simota/agent-skills
Created
7 months ago
Last Updated
today
Language
HTML
License
MIT

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