qredence
13 verified skills1,235 total stars
memory-system
Complete guide to the AgenticFleet memory system. Read this first.
documentation95
dspy-agent-framework-integration
Comprehensive guide to integrating DSPy with Microsoft Agent Framework in AgenticFleet, covering typed signatures, assertions, routing cache, GEPA optimization, and agent handoffs.
development95
changelog-generator
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
development95
system-init
Initialize or hydrate the agent's memory system and verify configuration.
testing95
system-learn
Ingest new procedural memory (skills, patterns, docs) into the vector database.
documentation95
reflect
Analyze the current session and consolidate learnings. Use at the end of a session or task.
tools95
.fleet/context/skills/repo-cleanup
--- title: Repository Cleanup and Git Hygiene tags: [git, cleanup, maintenance, hygiene] author: OpenCode created: 2024-12-30 --- # Repository Cleanup and Git Hygiene ## Context **When to use this skill:** - Repository has accumulated unused directories from various AI tools - Files are tracked despite being in `.gitignore` (committed before rule was added) - GitHub Agentic Workflows logs are taking up disk space - Need to clean up before a release **Why this matters:** - Keeps repository
tools95
python-backend-reviewer
Expert Python backend code reviewer that identifies over-complexity, duplicates, bad optimizations, and violations of best practices. Use when asked to review Python code quality, check for duplicate code, analyze module complexity, optimize backend code, identify anti-patterns, or ensure adherence to best practices. Ideal for preventing AI-generated code from creating unnecessary files instead of imports, finding repeated validation logic, and catching over-engineered solutions.
development95
.fleet/context/skills/dspy-agent-framework-quick-ref
--- name: dspy-agent-framework-quick-ref description: Quick reference card for DSPy + Agent Framework integration patterns: typed signatures, assertions, routing cache, and agent handoffs. --- # DSPy + Agent Framework Quick Reference ## Typed Signatures ```python class TaskRouting(dspy.Signature): task: str = dspy.InputField(desc="Task to route") team: str = dspy.InputField(desc="Available agents") decision: RoutingDecisionOutput = dspy.OutputField() class RoutingDecisionOutput(B
development95
.fleet/context/skills/memory-system-guide
--- title: AgenticFleet Memory System Guide tags: [memory, documentation, setup] author: AgenticFleet Architect created: 2024-12-29 --- # AgenticFleet Memory System Guide > **A comprehensive guide to using the Two-Tier Memory System (Local + Chroma Cloud) for persistent agent context.** ## Context **When to use this skill:** - You are a new agent or contributor starting a session. - You need to recall past architectural decisions or debugging solutions. - You want to save a new complex solu
development95
initiate-memory
Comprehensive guide for initializing or reorganizing agent memory and project context. Use when setting up a new project, when the user asks you to learn about the codebase, or when you need to create effective memory blocks for project conventions, preferences, and workflows.
development95
fleet-agent
Context-aware development assistant for AgenticFleet with auto-learning and dual memory (NeonDB + ChromaDB). Handles development workflows with intelligent context management.
development95
recall
Semantic search for memory. Use to find solutions, patterns, or context from Chroma Cloud.
devops95