<ide_opened_file>The user opened the file d:\PlatformIO1\Projects\Healthv2.0\platformio.ini in the IDE. This may or may not be related to the current task.</ide_opened_file>

继续上会的话题


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

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

- 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: Glob, Grep, Read, WebFetch, WebSearch)

- 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)

- 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: *)

- 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)

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


- 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".
- artifact-design: Design guidance and fundamentals for Artifacts.
- artifact-diagramming: Diagramming know-how for Artifacts — when a picture earns its place, how to draw one that shows the real mechanism, and the inline-SVG mechanics that keep it legible in both themes.
- 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".
- 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). Omit the interval to let the model self-pace. - 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
- security-review: Complete a security review of the pending changes on the current branch

dataviz artifact-design artifact-diagramming update-config keybindings-help simplify fewer-permission-prompts loop claude-api run init security-review


The user is saying "继续上会的话题" which means "continue the previous conversation's topic." Let me check what was discussed previously by looking at the memory files and recent context to understand what the ongoing topic was.


我来回顾一下之前的对话话题。让我先查看记忆文件和相关上下文。


No files found


Error: File does not exist. Note: your current working directory is d:\PlatformIO1\Projects\Healthv2.0.


The memory directory doesn't have files yet. Let me look at the recent git changes and the opened file to understand the project context. The user has many modified files shown in git status. Let me check the CLAUDE.md or any project documentation, and also look at the modified files to understand what's being worked on.

The opened file is `platformio.ini`. Let me also check if there's a CLAUDE.md file or any recent conversation context.


让我查看项目文档和最近的工作内容。


Let me look at the most recent session to understand the context. The newest session appears to be `49fba966-60be-4542-a6c1-b5b7e0e566bb`. Let me also look at the git status changes to understand what's being worked on.


让我查看最近的会话记录和当前的代码修改情况。


1	; PlatformIO Project Configuration File
2	; ESP32-S3 + R60ABD1 60G 毫米波雷达 健康监测系统
3
4	[env:esp32-s3-devkitc-1]
5	platform = espressif32
6	board = esp32-s3-devkitc-1
7	framework = arduino
8
9	; 串口监视器
10	monitor_speed = 115200
11	monitor_filters = direct
12	monitor_rts = 0
13	monitor_dtr = 0
14
15	; Flash 配置
16	board_build.flash_mode = qio
17	board_build.filesystem = littlefs
18	board_build.partitions = default_8MB.csv
19	board_build.arduino.memory_type = qio_opi
20
21	; 编译选项 - 优化速度
22	build_flags =
23	    -Os
24	    -DCORE_DEBUG_LEVEL=0
25	    -DARDUINO_USB_CDC_ON_BOOT=1
26	    -DBOARD_HAS_PSRAM
27
28	; 库依赖
29	lib_deps =
30	    ; MQTT 客户端
31	    knolleary/PubSubClient@^2.8
32
33	    ; JSON 解析 (更省内存)
34	    bblanchon/ArduinoJson@^7.1.0
35
36	    ; DHT11 温湿度传感器
37	    adafruit/DHT sensor library@^1.4.6
38	    adafruit/Adafruit Unified Sensor@^1.1.14
39
40	    ; OLED 显示屏 (SSD1306 128x64 I2C)
41	    olikraus/U8g2@^2.35.30
42
43	; 上传配置
44	upload_speed = 921600
45	upload_port = COM19
46

; PlatformIO Project Configuration File
; ESP32-S3 + R60ABD1 60G 毫米波雷达 健康监测系统

[env:esp32-s3-devkitc-1]
platform = espressif32
board = esp32-s3-devkitc-1
framework = arduino

; 串口监视器
monitor_speed = 115200
monitor_filters = direct
monitor_rts = 0
monitor_dtr = 0

; Flash 配置
board_build.flash_mode = qio
board_build.filesystem = littlefs
board_build.partitions = default_8MB.csv
board_build.arduino.memory_type = qio_opi

; 编译选项 - 优化速度
build_flags =
    -Os
    -DCORE_DEBUG_LEVEL=0
    -DARDUINO_USB_CDC_ON_BOOT=1
    -DBOARD_HAS_PSRAM

; 库依赖
lib_deps =
    ; MQTT 客户端
    knolleary/PubSubClient@^2.8

    ; JSON 解析 (更省内存)
    bblanchon/ArduinoJson@^7.1.0

    ; DHT11 温湿度传感器
    adafruit/DHT sensor library@^1.4.6
    adafruit/Adafruit Unified Sensor@^1.1.14

    ; OLED 显示屏 (SSD1306 128x64 I2C)
    olikraus/U8g2@^2.35.30

; 上传配置
upload_speed = 921600
upload_port = COM19