Command
Explain Stripe error codes and provide solutions with code examples.
98 tagged llm agents, measured the same way as everything else here.
Browse within: Multi-Agent 39workflow 14email 12adversarial-review 11ai-orchestration 11cli-tools 11knowledge-graph 9llm-tools 9agent-memory 8benchmarking 6llm-inference 6llms 6mixture-of-agents 6multi-agent-collaboration 6
Command
Explain Stripe error codes and provide solutions with code examples.
Command
Display Stripe test card numbers for various testing scenarios.
Command Claude Code
Implement tasks from an OpenSpec change (Experimental).
Command Claude Code
Archive a completed change in the experimental workflow.
Command Claude Code
Enter explore mode - think through ideas, investigate problems, clarify requirements.
Command
AI auto strategy executor. Analyzes task and automatically selects and executes the best strategy: direct execution, hybrid-auto PRD generation, hybrid-worktree isolated development, or mega-plan multi-feature orchestration.
Command
Generate PRD from task description and enter review mode. Auto-generates user stories with priorities, dependencies, and acceptance criteria for parallel execution. Usage: /plan-cascade:hybrid-auto [--flow ] [--tdd ] [--confirm] [--no-confirm] [--spec ] [--first-principles] [--max-questions N] [--agent ]…
Command
Approve the mega-plan and start feature execution. Creates worktrees and generates PRDs for each feature. Usage: /plan-cascade:mega-approve [--flow ] [--tdd ] [--confirm] [--no-confirm] [--spec ] [--first-principles] [--max-questions N] [--auto-prd] [--agent ] [--prd-agent ] [--impl-agent ].
Command Claude Code
Update project plan from repo state and conversation.
Command Cursor
Commit and push all changes from this chat session using Conventional Commits.
Command Cursor
Create a change and generate all artifacts needed for implementation in one go.
Command Cursor
Release a new version — updates CHANGELOG, pyproject.toml, creates git tag, and pushes.
Command
Command "conv_release" from John-Wendell/Attention-MoA, covering chatbot arena conversations, all conversations and prompt distribution.
Command
Command "data_cleaning" from John-Wendell/Attention-MoA, covering data cleaning, requirements, steps, convert html to markdown and keep or remove specific languages.
Command
Command "pypi" from John-Wendell/Attention-MoA, covering requirement and upload.
Command
Benchmark a macro and show the speed story (p50/p95 per op).
Command
Compile a UI task into a fast replayable macro (do it once, instant forever).
Command
Status of fast computer use — macro library, verified state, prerequisites.
SkyShannonProver/shannon-prover
Command Claude Code
Prove an EasyCrypt lemma with Shannon Prover.
Command
Save current conversation, then remind me to compact.
Command
Save the current conversation into active memory.
Command
Run the golden benchmark suite for one token-warden agent (or all) and compare results against the frozen run1 and best baselines.
Command
Dollar accounting — what does each active rule actually save, in money? Translates the token-measured verdict into dollars using a price table and the agent's own token-type mix, with a per-session net and a break-even. Read-only; spends no tokens.
Command
Measure pending token-warden candidate rules for an agent on the golden suite, evict or activate them, and recompile the agent's memory.