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Agent Memory Discipline Rules

agent-memory-discipline

sickn33/agentic-awesome-skills

This skill defines strict rules for AI agents to manage long-term memory effectively. It specifies when to recall past decisions before acting and when to save new decisions, corrections, or failures. It ensures consistency across sessions, prevents loss of context, and works with any memory backend like local files or MCP servers.

AI Agent Memory Management MCP

agent-memory-mcp

sickn33/agentic-awesome-skills

This MCP server provides a persistent and searchable memory bank for AI agents. It enables reading, writing, and searching long-term knowledge regarding architecture, patterns, and decisions. It automatically syncs with project documentation and includes a standalone dashboard for visualization. Requires Node.js setup for local deployment.

Agent QA Debug Fix

agent-qa-debug-fix

sickn33/agentic-awesome-skills

This skill enables debugging and patching failed Agent QA runs using MCP evidence, artifacts, logs, and local code. It ensures defects are not hidden by rewriting tests. The process involves collecting evidence, classifying failures, inspecting local files, applying minimal changes, and verifying fixes through reruns. It supports self-healing of stale definitions while maintaining safety boundaries.

AI Coding Agent Session Audit

agenttrace-session-audit

sickn33/agentic-awesome-skills

Audit local AI coding-agent sessions with agenttrace to inspect token and cost spikes, tool failures, retry loops, latency, anomalies, health scores, diffs, and CI gates. Use for debugging slow, expensive, or unreliable runs and comparing attempts.

Delegate Coding Tasks to Aider

sickn33/agentic-awesome-skills

This skill enables an orchestrator agent to delegate bounded coding tasks to a separate Aider implementer. The orchestrator retains review and landing responsibility, writing the brief while Aider performs the typing. It disables Aider's default auto-commit behavior to ensure the diff remains reviewable before landing. Requires Aider CLI, Node 18+, and git. Supports local or hosted models with proper API configuration.

Reconstruct Coding Workflow History

ax-extract-workflow

sickn33/agentic-awesome-skills

This skill reconstructs the detailed workflow behind a specific coding artifact (like a feature or PR). By analyzing local `ax` agent traces, it connects commits, sessions, skills, and tool calls into a concise, evidence-grounded narrative. It is used when needing to understand the step-by-step process and key decisions that led to a result.

Hermes Agent Non-Interactive Runner

code-mate-hermes

CherryHQ/cherry-studio

Run Hermes Agent non-interactively in one-shot mode for local coding tasks. Covers availability checks, timeout limits, exit code meanings, authentication boundaries, and safe workspace scoping.

Run OpenClaw Agent Non-Interactively

code-mate-openclaw

CherryHQ/cherry-studio

Runs the local OpenClaw main agent non-interactively via CLI with a finite timeout, JSON output, and read-only prompts. Use to delegate bounded tasks while avoiding onboarding, TUI, login, and credential handling.

Context Agent for Session Continuity

sickn33/agentic-awesome-skills

This skill acts as a context agent ensuring continuity between AI coding sessions. It automatically saves session summaries, decisions, and pending tasks to local storage and MEMORY.md. Upon starting a new session, it loads a detailed briefing to restore context. Features include full-text search, archiving, and maintenance tools for managing long-term project memory within the Claude Code environment.

Context Kit Setup

sickn33/agentic-awesome-skills

Evaluate, adapt, and safely install Context Kit personal context artifacts for Claude Code or adjacent agent workflows. Includes safety rules, installation review checklist, and best practices for local-first storage.

Distribute Skill Across Agents

distribute-skill-to-all-agents

sickn33/agentic-awesome-skills

Distribute a skill across multiple configured agent skill folders while respecting local symlink layouts, backing up targets, and verifying file integrity.

Ditto Coding Session Profile Miner

sickn33/agentic-awesome-skills

Ditto mines user words from local coding-agent session logs to create private work, design, and writing profiles. It requires explicit user approval before mining begins and keeps all data local. This skill routes a compatible Ditto runtime to extract patterns from real coding history rather than questionnaires, ensuring privacy and evidence-backed personalization for AI agents.

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