type: user

role: user

content: 编写helloworld

permissionMode: default

kind: human

promptSource: typed

userType: external

entrypoint: cli

gitBranch: HEAD


addedTypes: claude claude-code-guide Explore general-purpose Plan statusline-setup

addedLines: - claude: Catch-all for any task that doesn't fit a more specific agent. FleetView's default when no agent name is typed. (Tools: *)

addedLines: - claude-code-guide: Use this agent when the user asks questions ("Can Claude...", "Does Claude...", "How do I...") about: (1) Claude Code (the CLI tool) - features, hooks, slash commands, MCP servers, settings, IDE integrations, keyboard shortcuts; (2) Claude Agent SDK - building custom agents; (3) Claude API (formerly Anthropic API) - Messages API for directly passing messages to Claude, Tool Runner (`client.beta.messages.tool_runner`) for running an agentic loop over your own tools, manual tool-use loops, Managed Agents for server-hosted agents with a managed sandbox, prompt caching, and general Anthropic SDK usage; (4) Claude Tag (Claude in Slack) - what it is, setting it up for a Slack workspace, `/install-slack-app`. **IMPORTANT:** Before spawning a new agent, check if there is already a running or recently completed claude-code-guide agent that you can continue via SendMessage. (Tools: Bash, Read, WebFetch, WebSearch)

addedLines: - Explore: Read-only search agent for broad fan-out searches — when answering means sweeping many files, directories, or naming conventions and you only need the conclusion, not the file dumps. It reads excerpts rather than whole files, so it locates code; it doesn't review or audit it. Specify search breadth: "medium" for moderate exploration, "very thorough" for multiple locations and naming conventions. (Tools: All tools except Agent, Artifact, ExitPlanMode, Edit, Write, NotebookEdit)

addedLines: - general-purpose: General-purpose agent for researching complex questions, searching for code, and executing multi-step tasks. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries use this agent to perform the search for you. (Tools: *)

addedLines: - Plan: Software architect agent for designing implementation plans. Use this when you need to plan the implementation strategy for a task. Returns step-by-step plans, identifies critical files, and considers architectural trade-offs. (Tools: All tools except Agent, Artifact, ExitPlanMode, Edit, Write, NotebookEdit)

addedLines: - statusline-setup: Use this agent to configure the user's Claude Code status line setting. (Tools: Read, Edit)

type: attachment


content:
- deep-research: Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. - When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., "what car to buy" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.
- dataviz: Use this skill whenever you are about to create ANY chart, graph, plot, dashboard, or data visualization, in ANY output medium — an HTML or React artifact, inline SVG, plotting code in any library (matplotlib, plotly, d3, Recharts, …), an image/PNG you will render and upload, or a chart shared into Slack. Read it BEFORE writing the first line of chart code, choosing chart colors, building a stat tile / meter / KPI row, or laying out a dashboard. Produces visualizations that read as one system — elegant, accessible, consistent in light and dark — using a brand-neutral placeholder palette you swap for your own. Teaches a design-system-agnostic method: a form heuristic, a color formula with a runnable validator, mark specs, and interaction rules. A validated default palette is documented in `references/palette.md` — swap that file's values for your brand's. Triggers on: "chart", "graph", "plot", "data viz", "visualization", "dashboard", "analytics", "visualize data", "categorical colors", "sequential / diverging palette", "stat tile", "sparkline", "heatmap", "legend", "axis", "tooltip", "chart colors", "color by series".
- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors ("from now on when X", "each time X", "whenever X", "before/after X") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions ("allow X", "add permission", "move permission to"), env vars ("set X=Y"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: "allow npm commands", "add bq permission to global settings", "move permission to user settings", "set DEBUG=true", "when claude stops show X". For simple settings like theme/model, suggest the /config command.
- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: "rebind ctrl+s", "add a chord shortcut", "change the submit key", "customize keybindings".
- verify: Verify that a code change actually does what it's supposed to by exercising it end-to-end and observing behavior — drive the affected flow, not just tests or typecheck. Run before committing nontrivial changes; bootstraps this repo's project verify skill if none exists yet. Don't invoke it on a diff that only touches tests, docs, or other code with no runtime surface to drive (a change to product source always has one) — there's nothing to observe.
- code-review: Review the current diff for correctness bugs and reuse/simplification/efficiency cleanups at the given effort level (low/medium: fewer, high-confidence findings; high→max: broader coverage, may include uncertain findings). Pass --comment to post findings as inline PR comments, or --fix to apply the findings to the working tree after the review.
- simplify: Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes. Quality only — it does not hunt for bugs; use /code-review for that.
- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.
- loop: Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo, defaults to 10m) - When the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval (e.g. "check the deploy every 5 minutes", "keep running /babysit-prs"). Do NOT invoke for one-off tasks.
- claude-api: Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.
TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens).
SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).
- run: Launch and drive this project's app to see a change working. Use when asked to run, start, or screenshot the app, or to confirm a change works in the real app (not just tests). First looks for a project skill that already covers launching the app; otherwise falls back to built-in patterns per project type (CLI, server, TUI, Electron, browser-driven, library).
- init: Initialize a new CLAUDE.md file with codebase documentation
- review: Review a GitHub pull request; for your working diff use /code-review
- security-review: Complete a security review of the pending changes on the current branch

names: deep-research dataviz update-config keybindings-help verify code-review simplify fewer-permission-prompts loop claude-api run init review security-review


type: message

role: assistant

type: thinking

thinking: The user wants me to write a "helloworld". Let me check the working directory first.

service_tier: standard

speed: standard

type: assistant

effort: low


Bash

command: ls -la /root/pica-gateway 2>&1 | head -30

description: List working directory contents


content:
total 8
drwxr-xr-x  2 root root 4096 Jul 18 20:40 .
drwx------ 11 root root 4096 Jul 18 20:41 ..


thinking: Empty directory. The user just said "编写helloworld" (write helloworld). No language specified. I'll create a simple one. Given the directory name "pica-gateway", but it's empty. Let me just write a simple helloworld. I'll ask... actually, it's a simple task. Let me just pick Python as a sensible default, or maybe provide a few. Let me just write a Python helloworld since it's the simplest.


type: text

text: 目录为空。我创建一个简单的 Python helloworld 程序。


Write

content:
#!/usr/bin/env python3
"""Hello World 示例程序"""

def main() -> None:
    print("Hello, World!")

if __name__ == "__main__":
    main()


content: File created successfully at: /root/pica-gateway/hello.py (file state is current in your context — no need to Read it back)

type: create

content:
#!/usr/bin/env python3
"""Hello World 示例程序"""

def main() -> None:
    print("Hello, World!")

if __name__ == "__main__":
    main()


Bash

description: Run helloworld program


content: Hello, World!

stdout: Hello, World!


text:
已创建并运行成功。

- 文件:`/root/pica-gateway/hello.py`
- 输出:`Hello, World!`

如果你想要其他语言的版本(比如 Go、JavaScript、C 等),或者放在某个特定框架里,告诉我即可。


content: <bash-input>python hello.py</bash-input>


content:
<bash-stdout></bash-stdout><bash-stderr>  File "hello.py", line 2
SyntaxError: Non-ASCII character '\xe7' in file hello.py on line 2, but no encoding declared; see http://python.org/dev/peps/pep-0263/ for details
</bash-stderr>


thinking: The user is running Python 2 (python, not python3), which doesn't support UTF-8 by default without an encoding declaration. The file has Chinese comments. I should add an encoding declaration, or remove the Chinese. Since the user is using Python 2, let me add the encoding declaration. Actually better to make it work for both — add `# -*- coding: utf-8 -*-`.


text: 这是因为你运行的是 Python 2(`python` 而非 `python3`),它默认按 ASCII 解析源文件,遇到中文注释会报错。加上编码声明即可。


Edit

old_string:
#!/usr/bin/env python3
"""Hello World 示例程序"""

new_string:
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Hello World 示例程序"""


content: The file /root/pica-gateway/hello.py has been updated successfully. (file state is current in your context — no need to Read it back)

newString:
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Hello World 示例程序"""

originalFile:
#!/usr/bin/env python3
"""Hello World 示例程序"""

def main() -> None:
    print("Hello, World!")

if __name__ == "__main__":
    main()

lines:
#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
"""Hello World 示例程序"""


Bash

command: python hello.py && echo "---python3---" && python3 hello.py

description: Run with both python2 and python3


toolUseResult:
Error: Exit code 1
  File "hello.py", line 6
    def main() -> None:
               ^
SyntaxError: invalid syntax


thinking: Python 2 doesn't support type annotations (`-> None`). I need to make this work under Python 2. Let me remove the type annotations so it's compatible with both, or keep them. Better to write Python 2/3 compatible code. Remove the annotation.


text: Python 2 也不支持类型注解 `-> None`。改成两个版本都兼容的写法:


Edit

old_string:
def main() -> None:
    print("Hello, World!")


newString:
def main():
    print("Hello, World!")

originalFile:
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Hello World 示例程序"""

def main() -> None:
    print("Hello, World!")

if __name__ == "__main__":
    main()

lines:
"""Hello World 示例程序"""
-def main() -> None:
+def main():
print("Hello, World!")


Bash

command: python hello.py && echo "---python3---" && python3 hello.py

description: Run with both python2 and python3


content:
Hello, World!
---python3---
Hello, World!


text:
现在 `python` 和 `python3` 都能正常运行了。

改动:
- 第 2 行加 `# -*- coding: utf-8 -*-`,声明源文件为 UTF-8(Python 2 需要)。
- 去掉 `main()` 的类型注解 `-> None`(Python 2 不支持)。

最终文件:


content:
1	#!/usr/bin/env python3
2	# -*- coding: utf-8 -*-
3	"""Hello World 示例程序"""
4
5
6	def main():
7	    print("Hello, World!")
8
9
10	if __name__ == "__main__":
11	    main()
12

content:
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Hello World 示例程序"""

def main():
    print("Hello, World!")

if __name__ == "__main__":
    main()


text: 建议日常用 `python3 hello.py` 运行(Python 2 已停止维护)。