If you're running multi-agent workflows with Agentica and hitting the ~35% failure rate from ambiguous LLM instructions, this gives you tested patterns to fix it. The core insight is directory-based handoffs instead of TaskOutput (which floods context) and explicit verbs like RETRIEVE instead of "read the file." You get system prompt templates for swarm, hierarchical, and generator/critic patterns, plus a proven 6-step orchestration workflow that goes research to plan to validate to TDD implementation. The verb mapping table alone (comparing "check if file has X" to "RETRIEVE contents, contains Y? YES/NO") is worth the install. Brings success rates from ~60% to ~95% by making instructions unambiguous to the LLM.
npx -y skills add parcadei/continuous-claude-v3 --skill agentica-prompts --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills