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agents-best-practices

DenisSergeevitch/agents-best-practicesSkill

Use this skill when designing, generating an MVP blueprint for, auditing, troubleshooting, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, record provenance, interactive presentation, user-memory lifecycles, environment-adaptive tools, speculative tool execution, late-bound capabilities, permissions, system prompts, planning, goals, always-on agents and durable runtime, adaptive agent teams, context compaction, memory, skills, MCP/external connectors, public-boa

ScannedSkillSource: GitHub
2,386 stars +7 this week Updated 17d ago License MIT Context ≈156 tokens always loaded
84popular

Why this score

Stars24/35
Usage (forks)10/15
Upkeep25/25
License15/15
Owner history10/10

Popularity score: 84/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 20, 2026 at commit da245f8cbfc4, with Cisco's open-source skill-scanner.

Results for this version aren't published yet.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Alternatives

Nothing from another maker does quite the same job yet.