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AI-IDE 写策略与执行 — 用 AI 生成 Qlib 量化策略代码、Docker 容器执行策略/回测、自然语言条件选股、策略落库。在 QuantBot / Claude Code 中让 AI 写策略、生成 Qlib 策略、执行策略回测、云端保存策略时使用。触发词：AI写策略、写策略、生成策略、策略代码、AI-IDE、运行策略、执行策略、帮我写个策略、云端策略
Install AI Ide Strategy Writing
$ npx skills add qusong0627/QuantMind --skill ai-ide-strategy-writing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install qusong0627/QuantMind ai-ide-strategy-writing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-ide-strategy-writing .claude/skills/ai-ide-strategy-writing && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ai-ide-strategy-writing" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/ai-ide-strategy-writing into .claude/skills/ai-ide-strategy-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ide-strategy-writing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/qusong0627/QuantMind/tree/master/skills/ai-ide-strategy-writingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add qusong0627/QuantMind --skill ai-ide-strategy-writing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install qusong0627/QuantMind ai-ide-strategy-writing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-ide-strategy-writing .agents/skills/ai-ide-strategy-writing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-ide-strategy-writing" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/ai-ide-strategy-writing into .agents/skills/ai-ide-strategy-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ide-strategy-writing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add qusong0627/QuantMind --skill ai-ide-strategy-writing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install qusong0627/QuantMind ai-ide-strategy-writing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-ide-strategy-writing .cursor/skills/ai-ide-strategy-writing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-ide-strategy-writing" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/ai-ide-strategy-writing into .cursor/skills/ai-ide-strategy-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ide-strategy-writing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/qusong0627/QuantMind.git --path skills/ai-ide-strategy-writing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add qusong0627/QuantMind --skill ai-ide-strategy-writing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install qusong0627/QuantMind ai-ide-strategy-writing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-ide-strategy-writing .gemini/skills/ai-ide-strategy-writing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-ide-strategy-writing" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/ai-ide-strategy-writing into .gemini/skills/ai-ide-strategy-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ide-strategy-writing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install qusong0627/QuantMind ai-ide-strategy-writingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add qusong0627/QuantMind --skill ai-ide-strategy-writing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-ide-strategy-writing .github/skills/ai-ide-strategy-writing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-ide-strategy-writing" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/ai-ide-strategy-writing into .github/skills/ai-ide-strategy-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ide-strategy-writing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add qusong0627/QuantMind --skill ai-ide-strategy-writing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install qusong0627/QuantMind ai-ide-strategy-writing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qusong0627/QuantMind.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-ide-strategy-writing .opencode/skills/ai-ide-strategy-writing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-ide-strategy-writing" agent skill from https://github.com/qusong0627/QuantMind/tree/master/skills/ai-ide-strategy-writing into .opencode/skills/ai-ide-strategy-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ide-strategy-writing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ai-ide-strategy-writing- GitHub stars
- 1.7k
- Token cost
- ~1.8k tokens
- SKILL.md length
- 289 words
- Files
- 1
- Skills in repo
- 27
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
AI-IDE 写策略与执行 — 用 AI 生成 Qlib 量化策略代码、Docker 容器执行策略/回测、自然语言条件选股、策略落库。在 QuantBot / Claude Code 中让 AI 写策略、生成 Qlib 策略、执行策略回测、云端保存策略时使用。触发词：AI写策略、写策略、生成策略、策略代码、AI-IDE、运行策略、执行策略、帮我写个策略、云端策略
- Works in 9 steps: AI 服务（LLM）配置与自定义请求头 → 运行策略 / 回测（核心） → 回测默认模型 → …
- Tasks that involve Containers
- SKILL.md covers 认证, 0. AI 服务（LLM）配置与自定义请求头, 1. 运行策略 / 回测（核心） and 2. 回测默认模型, plus 6 more sections
- Calls curl and python3; reaches api.deepseek.com
What it does
AI Ide Strategy Writing is an agent skill from qusong0627/QuantMind. AI-IDE 写策略与执行 — 用 AI 生成 Qlib 量化策略代码、Docker 容器执行策略/回测、自然语言条件选股、策略落库。在 QuantBot / Claude Code 中让 AI 写策略、生成 Qlib 策略、执行策略回测、云端保存策略时使用。触发词：AI写策略、写策略、生成策略、策略代码、AI-IDE、运行策略、执行策略、帮我写个策略、云端策略
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Containers. It works with Docker. The repository describes itself as: QuantMind（量化大脑）开源版是一款面向个人开发者与投研团队的 AI 原生多市场量化交易平台。深度集成微软 Qlib、RD-Agent 因子演化与 QuantBot全能工作台，提供从 300+ 维因子挖掘、13 种机器学习与深度学习模型工场、Qlib 高性能回测、截面批量推理、7x24… The licence is AGPL-3.0.
When your agent uses it
- Tasks that involve Containers
Example prompts
- “/ai-ide-strategy-writing”
Requirements
- Python 3
- Docker
Workflow steps
9 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 2e93d9a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
curlpython3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
api.deepseek.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
AI Ide Strategy Writing loads about 1.8k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 289 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from qusong0627/QuantMind at commit 2e93d9a, republished under its AGPL-3.0 licence (© qusong0627). 289 words, ~1,794 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-ide-strategy-writing/SKILL.md (or your agent's skills folder).- name
- ai-ide-strategy-writing
- description
- AI-IDE 写策略与执行 — 用 AI 生成 Qlib 量化策略代码、Docker 容器执行策略/回测、自然语言条件选股、策略落库。在 QuantBot / Claude Code 中让 AI 写策略、生成 Qlib 策略、执行策略回测、云端保存策略时使用。触发词：AI写策略、写策略、生成策略、策略代码、AI-IDE、运行策略、执行策略、帮我写个策略、云端策略
⚙️ 本技能遵循公共运行环境契约（最高优先级，先于本文其余内容执行）： 详见 _shared/env-contract.md，执行前先读它。
AI-IDE 写策略技能
AI-IDE 用 AI 生成 Qlib 量化策略代码，并在 Docker 容器中隔离执行（策略运行 / 回测）。核心入口是 /api/v1/ai-ide/execute/*。
认证
BASE=http://127.0.0.1:8000
TOKEN=$(curl -s -X POST $BASE/api/v1/auth/login -H "Content-Type: application/json" \
-d '{"username":"admin","password":"admin123","tenant_id":"default"}' \
| python3 -c "import sys,json; print(json.load(sys.stdin).get('access_token',''))")
AUTH="Authorization: Bearer $TOKEN"
CT="Content-Type: application/json"0. AI 服务（LLM）配置与自定义请求头
AI-IDE / QuantAgent / QuantBot 的 LLM 通道统一走「个人中心 → AI 服务」配置（持久化在 user_profiles）：
# 读取当前配置（api_key 已脱敏）
curl -s -H "$AUTH" "$BASE/api/v1/ai-ide/config/llm"
# 保存配置（自定义网关/模型：可带自定义请求头）
curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/ai-ide/config/llm" -d '{
"provider": "custom",
"model": "your-model",
"base_url": "https://your-gateway.example.com",
"qwen_api_key": "sk-...",
"extra_headers": "{\"x-opencode-session\": \"<session-id>\"}"
}'
# 测试连通（字段同上）
curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/ai-ide/config/llm/test" -d '{ ... }'extra_headers：自定义请求头（JSON 字符串），存user_profiles.llm_extra_headers，会注入到全部 LLM 调用 （AI-IDE/QuantAgent、QuantBot、策略 Lab、ai_strategy等）。None=不改动，空串=清除，有值=覆盖。base_url：只填到域名即可，客户端会自动补/v1/chat/completions（例：https://api.deepseek.com→https://api.deepseek.com/v1/chat/completions）。- 注意：RD-Agent 子进程用的是自建网关，不会自动带上这里的
extra_headers（litellm 不读该变量），需要本地反向代理或单独 patch。
1. 运行策略 / 回测（核心）
AI-IDE 通过 Docker 容器执行策略代码。策略分三种模式自动识别：
- 可执行脚本（有
if __name__ == '__main__'或顶层可执行代码） - main() / run() 函数
- 模块型策略（
STRATEGY_CONFIG/get_strategy_config()）→ 回测中心兼容模式
1.1 启动执行（本地文件或临时代码）
# 从存储加载策略文件执行（云端策略）
curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/ai-ide/execute/start" \
-d '{
"file_id": "strategy_id_xxx",
"model_id": "mdl_cn_ensemble_xxx", # 可选：指定回测模型（默认模型）
"strategy_id": "strategy_xxx",
"run_id": "run_xxx",
"qlib_provider_uri": "db/qlib_data", # 多市场 Qlib 数据路径
"qlib_region": "cn", # cn / us / hk / crypto / futures
"benchmark": "SH000300"
}'
# 直接传代码执行（未保存代码）
curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/ai-ide/execute/run-tmp" \
-d '{
"content": "print(1+1)",
"filename": "tmp_strategy.py",
"model_id": "mdl_cn_ensemble_xxx"
}'
# 返回: {job_id, status: "started", runner_image}1.2 流式查看日志 / 结果
# SSE 流式日志（[SYSTEM]/[RESULT]/[ERROR]/[PROCESS_FINISHED]）
curl -s -N -H "$AUTH" "$BASE/api/v1/ai-ide/execute/logs/{job_id}"日志关键标记：
[SYSTEM] 使用回测中心同一回测引擎执行— 模块型策略进入回测[RESULT] annual_return: ... / sharpe_ratio: ...— 回测结果[ERROR] ...— 执行错误[PROCESS_FINISHED]— 执行结束
1.3 停止执行
curl -s -X POST -H "$AUTH" "$BASE/api/v1/ai-ide/execute/stop/{job_id}"1.4 语法检查
curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/ai-ide/execute/check-syntax" \
-d '{"code": "class Strategy: ..."}'2. 回测默认模型
AI-IDE 回测使用默认模型（GET /api/v1/models/default，缺失时先经管理后台/训练链路配置），回测前自动检查模型 pred 就绪：
- 单模型：读模型目录
pred.pkl/pred.parquet；缺失时提示"请先对该模型执行推理生成预测" - 融合模型（
ensemble_config.json）：自动用子模型 pred 融合生成pred.pkl（截面排名百分位加权） - 向量化极速回测：纯 TopK 策略（topk=n_drop、无加权/无止损/无自定义类）自动走向量化引擎（秒级），复杂策略保真走 step 模式
3. 策略代码规范
模块型策略（回测中心兼容模式）需定义：
STRATEGY_CONFIG：dict，含class+kwargs（signal/topk/n_drop/rebalance_days 等）- 或
get_strategy_config()：返回上述 dict - 支持
POOL_FILE顶部变量指定股票池文件
策略类参考（以代码为准：extended_strategies.py + recording_strategy.py；module_path 必须显写，
仅下表前 7 个类缺省时可由 builder 自动补全 strategy_builder.py:16-24）：
| 类 | 模块路径 | 用途 |
|---|---|---|
RedisRecordingStrategy | ...qlib_app.utils.recording_strategy | 模型 TopK + f_ 基本面硬过滤（默认首选） |
RedisTopkStrategy | ...qlib_app.utils.extended_strategies | Top-K 选股（等权，最常用） |
RedisWeightStrategy | ...qlib_app.utils.recording_strategy | 分数加权（max_weight/min_score） |
RedisLongShortTopkStrategy | ...qlib_app.utils.extended_strategies | 多空 Top-K（用户明确要求多空时用） |
RedisStopLossStrategy | ...qlib_app.utils.extended_strategies | 止损止盈 |
RedisCrashBuyDipStrategy | ...qlib_app.utils.extended_strategies | 急跌抄底 |
SimpleWeightStrategy | ...qlib_app.utils.recording_strategy | 简单权重（基类） |
RedisMomentumStrategy | ...qlib_app.utils.extended_strategies | 动量（momentum_period 累计收益 + 模型分融合） |
RedisRiskGuardTopkStrategy | ...qlib_app.utils.extended_strategies | 大盘风控 Top-K（f_* 过滤 + 动态降仓） |
RedisAdvancedAlphaStrategy | ...qlib_app.utils.extended_strategies | 高级截面 Alpha（分数权重 + TopK-Dropout） |
RedisSectorRotationStrategy | ...qlib_app.utils.extended_strategies | 行业轮动 |
禁止引用
RedisVolatilityWeightedStrategy/RedisFullAlphaStrategy：代码中不存在， 生成会导致 ImportError。最小可用结构见后端模板backend/services/engine/routers/ai_ide/skill_templates/qlib_model_strategy_config.md:16-35（get_strategy_config()+signal: "<PRED>"+topk/n_drop/rebalance_days/only_tradable必备， 因子过滤必须用f_前缀参数）。
4. 股票代码口径（分层，禁止混用）
- Strategy Lab SDK（
universe、buy/sell、ctx.history/feature）：前缀式SH600036 - Qlib 模块型策略 / 直接读 QuantDB parquet /
/stock-terminal/D.features：后缀式600036.SH（跨格式查 parquet 会静默查空；Qlib 内部大小写由回测层自动兼容，生成代码时不用手写小写） - 前端展示 / PG / Redis：前缀式（
SH600036；Redis 快照键为小写market:snapshot:sh600036） - 生成策略代码时按目标执行层选用格式；不确定时用
StockCodeUtil.to_suffix/to_prefix（backend/shared/stock_utils.py）显式转换，禁止手写切片。
5. 策略云端落库
# 保存策略（字段以 StrategyCreateRequest 为准：name 必填，调参放 parameters，勿用 params/strategy_type/market）
curl -s -X POST -H "$AUTH" -H "$CT" "$BASE/api/v1/strategies" \
-d '{
"name": "AI生成-低估值策略",
"description": "PE<15 且 ROE>10",
"code": "STRATEGY_CONFIG = {...}",
"parameters": {"topk": 50, "n_drop": 5, "rebalance_days": 3},
"tags": ["AI生成"]
}'
# 策略列表 / 模板
curl -s -H "$AUTH" "$BASE/api/v1/strategies"
curl -s -H "$AUTH" "$BASE/api/v1/strategies/templates"6. 实战流程（推荐）
当用户要求"写个策略 / 运行策略"时：
- 理解需求：确认选股条件（市值/PE/ROE/动量/行业等）和市场
- 生成策略代码：构造
STRATEGY_CONFIG（模块型）或可执行脚本 - 保存落库：
/strategiesPOST 保存到云端 - 执行：
/ai-ide/execute/start（带 model_id + qlib_provider_uri） - 看结果：
/ai-ide/execute/logs/{job_id}SSE 流式，等[PROCESS_FINISHED] - 回测深挖：用 [[backtest-center]] 技能对策略跑完整回测
- 调优迭代：根据回测结果调参数，重新生成
7. 相关技能
- [[backtest-center]] — 完整回测中心（对比/优化/深度分析）
- [[smart-strategy-stock-picking]] — 条件选股生成股票池
- [[quantmind-operations]] — 模型训练/推理/数据更新
8. 常见问题
| 现象 | 处理 |
|---|---|
| 模块型策略无法执行 | 确保有 STRATEGY_CONFIG 或 get_strategy_config() |
| 回测 universe 无数据/查空 | 先查股票代码格式：Lab SDK 用前缀 SH600036，Qlib/QuantDB 用后缀 600036.SH（见 §4） |
| 回测报"模型无可用预测文件" | 单模型先推理；融合模型会自动生成 pred |
| 回测慢 | 纯 TopK 策略自动向量化；复杂策略耗时正常 |
| 容器执行失败 | 查 /execute/logs/{job_id} 的错误详情 |
| 想换市场回测 | 传 qlib_provider_uri + qlib_region（多市场 Qlib 数据） |
© qusong0627, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
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Just SKILL.md in skills/ai-ide-strategy-writing of qusong0627/QuantMind.
Open the folder on GitHubat commit 2e93d9a
Compare with similar skills
AI Ide Strategy Writing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Ide Strategy Writing this skillqusong0627/QuantMind | 1.7k | — | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Iron Proxy Gateway for NanoClawnanocoai/nanoclaw | 31k | — | ~4.6k | Automated safety check: Notes | MIT | |
| GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb | 6.7k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit | 260 | 6 repos | ~1.1k | Automated safety check: Notes | Custom licence | |
| LangBot Deployment Guidelangbot-app/LangBot | 18k | — | ~1.5k | Automated safety check: Notes | Apache-2.0 | |
| Build Openshell Mxc WindowsNVIDIA/OpenShell | 16k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 |
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Questions about AI Ide Strategy Writing
What does AI Ide Strategy Writing do?
AI-IDE 写策略与执行 — 用 AI 生成 Qlib 量化策略代码、Docker 容器执行策略/回测、自然语言条件选股、策略落库。在 QuantBot / Claude Code 中让 AI 写策略、生成 Qlib 策略、执行策略回测、云端保存策略时使用。触发词：AI写策略、写策略、生成策略、策略代码、AI-IDE、运行策略、执行策略、帮我写个策略、云端策略. AI Ide Strategy Writing is an agent skill from qusong0627/QuantMind.
When should I use AI Ide Strategy Writing?
AI Ide Strategy Writing fits situations like: tasks that involve Containers.
How do I install AI Ide Strategy Writing in Claude Code?
Run `npx skills add qusong0627/QuantMind --skill ai-ide-strategy-writing -a claude-code`. Or copy the skill folder (skills/ai-ide-strategy-writing in qusong0627/QuantMind) into .claude/skills/ai-ide-strategy-writing in your project. Claude Code loads it when a task matches its description.
How do I install AI Ide Strategy Writing in Codex?
Run `npx skills add qusong0627/QuantMind --skill ai-ide-strategy-writing -a codex`. Or copy the skill folder (skills/ai-ide-strategy-writing in qusong0627/QuantMind) into .agents/skills/ai-ide-strategy-writing in your project. Codex loads it when a task matches its description.
Can I use AI Ide Strategy Writing in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add qusong0627/QuantMind --skill ai-ide-strategy-writing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-ide-strategy-writing, .gemini/skills/ai-ide-strategy-writing, .github/skills/ai-ide-strategy-writing and .opencode/skills/ai-ide-strategy-writing in your project.
What does AI Ide Strategy Writing need to run?
Going by SKILL.md and its folder, AI Ide Strategy Writing needs the command-line tools its instructions call (curl and python3). Our summary lists: Python 3; Docker.
Does AI Ide Strategy Writing access the network?
SKILL.md names 1 domain. In commands or code: api.deepseek.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is AI Ide Strategy Writing safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does AI Ide Strategy Writing use?
AI Ide Strategy Writing is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AI Ide Strategy Writing use?
About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to AI Ide Strategy Writing?
Skills that share tags, products or a category with AI Ide Strategy Writing: Iron Proxy Gateway for NanoClaw (nanocoai/nanoclaw, 31k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars) and LangBot Deployment Guide (langbot-app/LangBot, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Ide Strategy Writing?
qusong0627 (a GitHub user) maintains it in qusong0627/QuantMind, which has 1,725 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 10, 2026.
Source: qusong0627/QuantMind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.