Prompts
Prompt engineering and templates
botsee
by openclaw
Monitor your brand's AI visibility via BotSee API
agent-sdk
by majesticlabs-dev
Guide for Claude Agent SDK - build custom AI agents powered by Claude. Covers installation, authentication providers, tool permissions, file-based configuration, TypeScript/Python code examples, and project scaffolding templates.
agentica-server
by parcadei
Agentica server + Claude proxy setup - architecture, startup sequence, debugging
llm-tuning-patterns
by parcadei
LLM Tuning Patterns
hooks
by parcadei
Hook Development Rules
debug-hooks
by parcadei
Systematic hook debugging workflow. Use when hooks aren't firing, producing wrong output, or behaving unexpectedly.
braintrust-tracing
by parcadei
Braintrust tracing for Claude Code - hook architecture, sub-agent correlation, debugging
commit
by parcadei
Create git commits with user approval and no Claude attribution
completion-check
by parcadei
"Completion Check: Verify Infrastructure Is Wired"
agentica-claude-proxy
by parcadei
Guide for integrating Agentica SDK with Claude Code CLI proxy
background-agent-pings
by parcadei
Background Agent Pings
cli-reference
by parcadei
Claude Code CLI commands, flags, headless mode, and automation patterns
agentica-sdk
by parcadei
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
agentica-prompts
by parcadei
Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
compound-learnings
by parcadei
Transform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "compound learnings", or "what patterns should become skills".
math
by parcadei
Unified math capabilities - computation, solving, and explanation. I route to the right tool.
agent-context-isolation
by parcadei
Agent Context Isolation
git-commits
by parcadei
Git Commit Rules
describe-pr
by parcadei
Generate comprehensive PR descriptions following repository templates
lyra
by joaquimscosta
Transform vague inputs into precision-optimized AI prompts for Claude, ChatGPT, Gemini, or other LLMs. Use when user mentions "optimize prompt", "improve prompt", "lyra", "prompt engineering", or needs help crafting effective AI prompts.
authoring-stitch-prompts
by joaquimscosta
Converts natural-language descriptions or UI spec files into optimized Google Stitch prompts. Use when creating, refining, or validating design directives for Google Stitch. Use when user says "create a Stitch prompt", "optimize this for Stitch", "convert this spec to a Stitch prompt", "write a UI prompt", or mentions Google Stitch prompt authoring. Follows Stitch best practices with short, directive prompts focused on screens, structure, and visual hierarchy.
prompt-engineering
by rfxlamia
Use when you need to design effective LLM prompts. Intelligently selects optimal prompting methods (Chain of Thought, Few-Shot, Zero-Shot, ReAct, Tree of Thoughts, Self-Consistency) and output formats (XML, JSON, YAML, Natural Language) based on task complexity, target LLM, accuracy requirements, and available context. Trigger on prompt design, prompt optimization, or when choosing between prompting techniques.
red-teaming
by rfxlamia
Comprehensive red teaming methodology for both cybersecurity and AI/LLM systems. Use when conducting adversary emulation, vulnerability assessment, attack simulation, or security validation. Trigger on requests for penetration testing, threat modeling, security audits, MITRE ATT&CK operations, LLM safety testing, prompt injection attacks, or compliance validation (OWASP, NIST, TIBER, DORA, EU AI Act). Apply when users ask to "test like an attacker", "red team our system", "validate security posture", "assess LLM vulnerabilities", or "simulate cyber attacks". Includes planning frameworks, execution strategies, reporting templates, and progressive references to specialized attack techniques and tools.
humanize
by rfxlamia
Transform AI-to-AI documentation into human-readable prose with personality. USE WHEN: Converting rigid AI-generated docs (checklists, templates, CAPS LOCK emphasis, perfect structures) into flowing, conversational documentation that feels like a colleague wrote it, not a robot. PRIMARY TRIGGERS: "humanize this doc" â Full transformation workflow "make this readable" â Quick readability pass "remove AI patterns" â Surgical pattern removal "add human touch" â Inject personality without losing precision INPUT: Markdown files with AI-agent patterns (checklist spam, rigid headers, template overload) OUTPUT: Flowing prose with burstiness, analogies, and occasional absurd touches CORE PRINCIPLE: Total war on AI rigidity. Destroy robotic tone while preserving technical accuracy.