Stanley Chisango
Community@scooter-lacroix
Language is the source code
Agent Skills by Stanley Chisango
Showing 151 vetted skills indexed across 1 GitHub repositories.
maestro
Orchestrate spec-driven software development workflows with tracked execution and specialized agents.
index-at-creation
Index artifacts immediately upon creation using the PostToolUse Write hook and --file flag.
graceful-degradation
Check optional service availability, cache results, and provide fallback messages.
async-repl-protocol
Enforces await usage and single code blocks for Agentica's async REPL harness testing.
skill-development
Enforce standardized Maestro Skill Unit and SKILL.md file structure and best practices.
modular-code
Organize Python code into modular files and packages with splitting strategies and templates.
hook-developer
Develop Maestro hooks with input/output schemas and registration methods.
agentic-workflow
Coordinate specialized agents through research, planning, TDD implementation, and review stages.
debug-hooks
Debug Maestro hooks by verifying registration, inspecting files, and testing execution.
complete-skill
Execute end-to-end tests for the complete data persistence pipeline.
agentica-claude-proxy
Integrate Agentica SDK with Maestro CLI's Claude proxy for agent tool usage.
explicit-identity
Pass explicit session and span identifiers across process and asynchronous boundaries.
agentica-sdk
Develop Python AI agents with the Agentica SDK using decorators and spawn().
agent-context-isolation
Isolate AI agent outputs to cache files to prevent context window pollution.
no-polling-agents
Manage background agent execution using status files for completion signaling.
idempotent-redundancy
Enforce idempotency in redundant operations with atomic writes and pre-write checks.
environment-triage
Diagnose Python environment inconsistencies by verifying interpreters and package installations.
reference-sdk
Analyze reference SDK implementations for streaming and tool calling patterns.
background-agent-pings
Manage background agent execution with system reminders for progress and completion.
mot
Audit Maestro skills, agents, hooks, and memory system integrity.
sub-agents
Create and configure specialized AI sub-agents with custom prompts, tools, and models.
router-first-architecture
Route user intent through domain-specific routers to deterministic CLI commands.
llm-tuning-patterns
Configure LLM parameters like max_tokens and temperature for specific tasks.
observe-before-editing
Verify system outputs and logs before editing code.