PreToolUse
01Hook Claude Code
Runs before the agent uses a tool for Bash tool calls, executing block-destructive.sh. From j4flmao/agent-skills.
Hook Claude Code
Runs before the agent uses a tool for Bash tool calls, executing block-destructive.sh. From j4flmao/agent-skills.
Hook Claude Code
Runs after a tool call finishes for Write and Edit tool calls, executing log-changes.sh. From j4flmao/agent-skills.
Hook Claude Code
Runs when a session starts, executing session-start.sh. From j4flmao/agent-skills.
Settings file Claude Code
Agent settings declaring 3 hook events (PreToolUse, PostToolUse, SessionStart).
Skill Claude CodeCodex
Stage and commit changes with conventional commit format. Use when the user says /commit or asks to commit.
Skill Claude CodeCodex
Research a topic thoroughly using codebase exploration. Use when the user wants deep investigation of a feature, bug, or pattern.
Skill Claude CodeCodex
Deploy the project to production. Only user-invocable — never auto-trigger.
Skill Claude CodeCodex
Fix a GitHub issue by number. Read the issue, implement the fix, write tests, commit.
Cursor rule Cursor
Cursor: rule files loaded by glob scope. Separate granular files.
Cursor rule Cursor
Cursor rule "compression" from j4flmao/agent-skills, covering compression — why use many token when few do trick, strip (always), pattern and exceptions (full prose).
Instructions file GitHub Copilot
Instructions for j4flmao/agent-skills, covering github copilot instructions — j4flmao/skills, entry point, routing rules, phase order and quick keyword map.
Command
Rewrite a .md file with output compression rules applied. Saves original as .original.md.
Command
Show all 105 skills grouped by phase, with trigger keywords.
Command
Activate a skill from the suite. Reads the skill's SKILL.md and applies its rules.
Skill Claude CodeCodex
Guidelines for building multi-agent systems and RAG pipelines.
Skill Claude CodeCodex
Focus: Designing, evaluating, and implementing Autonomous AI Agents, ReAct loops, planning, and tool use. Triggers: agent architecture, multi-agent systems, react loop, tool calling, autonomous agent.
Skill Claude CodeCodex
Fundamental principles of AI Agent cognitive loops, contrasting ReAct and Plan-and-Solve paradigms.
Skill Claude CodeCodex
Theoretical foundations of Working, Semantic, and Episodic memory systems for autonomous agents.
Skill Claude CodeCodex
First principles of AI societal structures and multi-agent interaction paradigms.
Skill Claude CodeCodex
First principles of tool/environment grounding, structured outputs, and error recovery for AI agents.
Skill Claude CodeCodex
Integrating Stable Diffusion for vision generation and Whisper for audio/multimodal tasks.
Skill Claude CodeCodex
During autoregressive generation, Transformers exhibit quadratic time and linear space complexity with respect to sequence length. To prevent recomputing the Key ($K$) and Value ($V$) tensors for preceding tokens at each generation step, the KV cache is utilized.
Skill Claude CodeCodex
Quantization reduces the precision of model weights (and sometimes activations) from 16-bit floating-point (FP16/BF16) to lower bit-widths (e.g., INT4, INT8).
Skill Claude CodeCodex
HNSW operates as a multi-layered proximity graph where each layer constitutes a skip-list-esque representation of the vector space. The construction involves stochastic insertion with an exponentially decaying probability of promotion to higher layers.