Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
Cover PowerShell quoting, exit codes, scratch scripts, JSON serialization, UTF-8 handling, and file I/O. Address PowerShell 5.1 syntax limitations, Unix command equivalents, and commands that can hang when stdin is missing.
Writes, deletes, checks, and lists .agent-restore-context-* files. Helps skills retain recoverable context across /clear and /compact.
Run a structured retrospective after development-phase runs of your product's agents — interview the owner in plain language about what went well and poorly, draft ranked improvement hypotheses, then design and run small n=1/n=2 experiments with pre-declared success criteria, guardrails, stop conditions, and a cost/ROI kill-switch. Load when the user says how did that run go, retro this run, the a…
Identifies an agent skill for sona-learning-optimizer and provides its invocation name. The description supplies no further details about its functionality.
Design state-of-the-art multi-agent systems, orchestration patterns, and wiring from scratch. Load when the user asks to build an agent system from scratch, design agent orchestration patterns, choose between sequential/parallel/hierarchical workflows, or define how multiple agents should collaborate. Also triggers on "agent architecture", "multi-agent wiring", "agent orchestration pattern", "how …
Covers AI agent tool design from schemas to error handling. Addresses JSON Schema practices, descriptions that help models use tools, validation, and the MCP standard.
Uses agent-tui to automate CLI and TUI flows, run regression tests, verify interactive behavior, and extract structured text. Also supports explanations and demonstrations of agent-tui, with scope limited to terminal interfaces.
Provides a Copilot discovery loader for the shared Agentic PM Lab mastery skill. Uses the trigger phrase 'agentexpert' to start.
Planner-Worker-Judge orchestration, phases, handoffs, protected changes, code-loop and shape-lite principles.
Summarize the current git diff against main into a horizontally sliced task with acceptance criteria. Creates the task through gh and links it as a sub-issue of a parent Feature in SmoothAiStockAnalysis.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name