Agentica Prompts

by parcadei

Agentica Prompts is an AI Engineering skill for Claude Code, published by parcadei in Continuous-Claude-v3.

3.9K stars296 forkson parcadei/Continuous-Claude-v3Added 2026/08/16Repository updated 2026/01/26

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Install in seconds

Install Agentica Prompts

Copy Agentica Prompts into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/agentica-prompts ~/.claude/skills/agentica-prompts

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/parcadei/Continuous-Claude-v3.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: .claude/skills/agentica-prompts/SKILL.md in parcadei/Continuous-Claude-v3
Installs to: ~/.claude/skills/agentica-prompts
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Agentica Prompts does

Agentica Prompts provides templates and patterns for writing reliable prompts for Agentica/REPL agents, reducing instruction ambiguity and improving multi-agent orchestration reliability.

Agentica Prompts is cataloged under AI Engineering on DirSkills. Agentica Prompts comes from a repository tagged agents, claude-code, claude-code-cli, claude-code-hooks and claude-code-mcp.

Documentation

README

Excerpt

Agentica Prompt Engineering

Write prompts that Agentica agents reliably follow. Standard natural language prompts fail ~35% of the time due to LLM instruction ambiguity.

The Orchestration Pattern

Proven workflow for context-preserving agent orchestration:

1. RESEARCH (Nia)     → Output to .claude/cache/agents/research/
       ↓
2. PLAN (RP-CLI)      → Reads research, outputs .claude/cache/agents/plan/
       ↓
3. VALIDATE           → Checks plan against best practices
       ↓
4. IMPLEMENT (TDD)    → Failing tests first, then pass
       ↓
5. REVIEW (Jury)      → Compare impl vs plan vs research
       ↓
6. DEBUG (if needed)  → Research via Nia, don't assume

Key: Use Task (not TaskOutput) + directory handoff = clean context

Agent System Prompt Template

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Agentica Prompts

What else does parcadei publish alongside Agentica Prompts?
Agentica Prompts is one of 25 skills that DirSkills catalogs from parcadei/Continuous-Claude-v3, the repository it ships in. Its siblings there include AST-Grep Find, Agent Context Isolation and Agent Orchestration. Each one is a separate skill with its own page in this directory, installs the same way Agentica Prompts does, and is maintained by parcadei in that same repository. The rest of the collection is listed on the parcadei/Continuous-Claude-v3 page.
How does Agentica Prompts compare to other AI Engineering skills?
Agentica Prompts ranks #554 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agentica Prompts against them. Open each page to compare what they document and how they install.