- 📁 assets/
- 📁 references/
- 📄 SKILL.md
Use this skill when working with Salesforce Agent Script — the scripting language for authoring Agentforce agents using the Atlas Reasoning Engine. Triggers include: creating, modifying, or comprehending Agent Script agents; working with AiAuthoringBundle files or .agent files; designing topic graphs or flow control; producing or updating an Agent Spec; validating Agent Script or diagnosing compilation errors; previewing agents or debugging behavioral issues; deploying, publishing, activating, or deactivating agents; deleting or renaming agents; authoring AiEvaluationDefinition test specs or running agent tests. This skill teaches Agent Script from scratch — AI models have zero prior training data on this language. Do NOT use for Apex development, Flow building, Prompt Template authoring, Experience Cloud configuration, or general Salesforce CLI tasks unrelated to Agent Script.
- 📁 .github/
- 📁 agents/
- 📁 assets/
- 📄 README.md
- 📄 README_CN.md
- 📄 SKILL.md
Use when user requests diagrams, flowcharts, architecture charts, or visualizations. Also use proactively when explaining systems with 3+ components, complex data flows, or relationships that benefit from visual representation. Generates .drawio XML files and exports to PNG/SVG/PDF locally using the native draw.io desktop CLI.
Incorporate code review feedback — make code changes, commit with review trailers, update disposition table, and request re-review if needed. Mirrors plan-incorporate for code reviews.
- 📁 skills/
- 📄 skill.json
- 📄 skill.md
Skill bundle for long-running Clawcolony agents. Use when joining the colony, deciding what to work on, reading mail, routing to domain skills, or starting a new session. NOT for one-shot tasks outside Clawcolony.
Manage AWS resources via the aws CLI.
Post a coordination message from this bot to the shared bot2bot channel, @-mentioning the other Sutando node.
Evaluate and score agent behavior against a golden reference. Use this skill whenever the user wants to run evaluation, check pass/fail status, understand metric scores, compare sessions for regressions, validate agent behavior, or score a trace from a file or a live session. Trigger on phrases like "eval this trace", "check my agent output", "did my agent do the right thing", "compare runs", "did my agent regress", "score session X", "evaluate against golden", "run evals". Works with both local trace files and live streaming sessions. --- Evaluate agent behavior and explain what the scores mean. ## Determine the input type First, figure out what to evaluate: - **Trace file(s)** — user mentions a `.json` or `.jsonl` file path → use `evaluate_traces` - **Sessions vs golden** — user has multiple live sessions and wants regression testing → use `evaluate_sessions` - **Single live session** — user wants to score one session against a golden eval set → guide them to use `evaluate_sessions` with one session as golden ## Evaluating trace files 1. Get the file path(s). Check the extension: `.jsonl` → `trace_format: "otlp-json"` | `.json` → `"jaeger-json"` (default) 2. Ask if they have a golden eval set JSON. For `tool_trajectory_avg_score` (the default metric), an eval set is required — it provides the expected tool call sequence to compare against. If they don't have one yet, explain this and suggest starting with `hallucinations_v1`, or ask if they want to create a golden set from a reference run first. 3. Call `evaluate_traces` with the file(s), format, and eval set. 4. Present results as a score table (see Score interpretation below) and explain failures. ## Evaluating sessions (regression testing) This workflow requires the server to be running with the `--dev` flag (which enables WebSocket and session streaming). Plain `agentevals serve` will not have sessions. If you get a connection error from any tool below, tell the user: ```bash uv run agentevals serve --dev ```
SSH into host `h100_sglang`, enter Docker container `sglang_bbuf`, work in `/data/bbuf/repos/sglang`, and use the ready H100 remote environment for SGLang **diffusion** development and validation. Use when a task needs diffusion model smoke tests, Triton/CUDA kernel validation, torch.compile diffusion checks, or a safe remote copy for diffusion-specific SGLang changes.
Routing guide -- when to use `nansen agent` (AI research) vs direct CLI data commands. Use when deciding how to answer a user's research question with Nansen tools.
- 📄 PROJECT_HISTORY.md
- 📄 SKILL.md
Provides information about the bitwize-music plugin, its version, and its creator. Use when the user asks about the plugin, its purpose, version, or capabilities.
A deterministic thinking partner that challenges assumptions and applies mental models to sharpen decisions, solve problems, and think more clearly. Use this skill whenever a user says "help me think through X", "challenge my thinking", "what am I missing", "apply mental models to this", "play devil's advocate", "stress test this idea", "poke holes in my plan", "help me decide between X and Y", "what are the second-order effects", "I'm stuck on a decision", names any specific model (SWOT, first principles, inversion, pre-mortem, etc.), or asks for structured reasoning on any ambiguous, high-stakes, or complex problem. Also trigger when the user seems uncertain, is rationalizing, or is asking "am I thinking about this right?" Even casual phrases like "what do you think about..." on non-trivial topics should trigger this skill. --- # Thinking Partner A deterministic thinking partner that challenges assumptions and applies mental models to help users think better and clearer. Not a lecture — a sparring session. ## Core Philosophy Good thinking is an active achievement, not a default state. The goal is not to tell the user what to think, but to sharpen *how* they think by: 1. **Challenging assumptions** — Surface hidden beliefs the user is treating as facts 2. **Applying mental models** — Select and deploy the right thinking frameworks for the situation 3. **Detecting orientation capture** — Notice when thinking serves comfort instead of truth 4. **Maintaining productive tension** — Hold complexity open long enough to find real insight You are not a yes-machine. You are not an interrogator. You are a thinking partner: respectful, direct, genuinely curious, and willing to push back. ## When This Triggers - "Help me think through X" - "Challenge my thinking / assumptions" - "What am I missing?" - "Apply [any model name] to this" - "Play devil's advocate" - "Stress test this idea / plan" - "Help me decide between X and Y" - "What are the second-order effects?" - "Am I thin
- 📁 references/
- 📁 scripts/
- 📄 SKILL.md
Headless browser automation for AI agents using agent-browser CLI. Use when Claude needs to automate web browsing, scrape web data, interact with web pages, fill forms, take screenshots, or perform any browser-based tasks. Supports reference-based element targeting, session management, and semantic locators.
