Tushare Data
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
Trade execution using price action setups, major trend reversal trading top and bottom, MTR failure continuation, strong bull and bear breakout trading, strong and weak channel trading strategies…
$ npx skills add agentii-ai/agentii-investment-intelligence --skill trade-execution -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence trade-execution --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/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution .claude/skills/trade-execution && 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 "trade-execution" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution into .claude/skills/trade-execution/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-execution", 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/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/technical-analysis/skills/agentii/trade-executionType 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 agentii-ai/agentii-investment-intelligence --skill trade-execution -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence trade-execution --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution .agents/skills/trade-execution && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trade-execution" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution into .agents/skills/trade-execution/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-execution", 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 agentii-ai/agentii-investment-intelligence --skill trade-execution -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence trade-execution --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution .cursor/skills/trade-execution && 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 "trade-execution" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution into .cursor/skills/trade-execution/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-execution", 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/agentii-ai/agentii-investment-intelligence.git --path plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution--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 agentii-ai/agentii-investment-intelligence --skill trade-execution -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence trade-execution --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution .gemini/skills/trade-execution && 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 "trade-execution" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution into .gemini/skills/trade-execution/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-execution", 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 agentii-ai/agentii-investment-intelligence trade-executionInstalls 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 agentii-ai/agentii-investment-intelligence --skill trade-execution -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution .github/skills/trade-execution && 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 "trade-execution" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution into .github/skills/trade-execution/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-execution", 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 agentii-ai/agentii-investment-intelligence --skill trade-execution -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence trade-execution --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution .opencode/skills/trade-execution && 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 "trade-execution" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution into .opencode/skills/trade-execution/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trade-execution", 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.
trade-executionTrade execution using price action setups, major trend reversal trading top and bottom, MTR failure continuation, strong bull and bear breakout trading, strong and weak channel trading strategies…
Trade Execution is an agent skill from agentii-ai/agentii-investment-intelligence. Trade execution using price action setups, major trend reversal trading top and bottom, MTR failure continuation, strong bull and bear breakout trading, strong and weak channel trading strategies, trading range strategies, opening range swings, integration with gold.technicalsetups for setup matching and execution planning
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/execution-scenarios.md`, `references/knowledge-frameworks.md` and `references/modes.md`).
It sits in Business, Finance & HR, covering Trading and backtesting. The repository describes itself as: Claude-type skills for institutional equity research — 25 AI agent skills with SEC filings, XBRL financials, earnings calendars, DCF/comps/LBO models, and PPT generation. Powered… The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 86980e1. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Trade Execution loads about 2.2k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 953 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.
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.
The full file from agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 953 words, ~2,244 tokens.
.claude/skills/trade-execution/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Methodology inspired by publicly taught price action trading frameworks; all text is an original paraphrase.
| Parameter | Default Value | Rationale |
|---|---|---|
| swing_reward_min | 2x risk | Swing trades require minimum 2:1 reward-to-risk |
| scalp_reward | 1x risk | Scalp trades take profits at 1:1 reward-to-risk |
| default_position_risk | 1-2% of capital | Standard risk per trade |
| mtr_failure_priority | highest | MTR failure is the strongest continuation signal |
Run canonical pre-flight per contracts/preflight.md. Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned).
references/execution-scenarios.md (bundled full execution methodology)chart-patterns skill output (pattern_type, market_condition, timeframe)price-action skill output (Always In direction, trend strength)search_technical_setups + get_technical_setup for exact entry/exit parameters from gold.technical_setupsstructured_only
This skill follows Branch (d) Simple Lookup from contracts/retrieval.md: the execution framework is bundled in references/execution-scenarios.md. Real-time price data via get_realtime_quote. Matched technical setups via search_technical_setups and get_technical_setup for detailed execution parameters. No unstructured document retrieval.
See frontmatter temporal_scope block.
See frontmatter allowed_tools.
This skill implements the price action trading trade execution framework: 12 distinct trading scenarios with specific entry, stop, target, and invalidation rules. The core insight: MTR failures produce the strongest continuation signals. Detailed methodology, setup-specific rules, and the full setup→strategy matrix are in references/execution-scenarios.md.
This skill follows the Mode C (Execution-Focused) retrieval arc per spec 039 Part V.
get_realtime_quote for broad market proxy to assess VIX.Receive directional thesis from upstream skills:
price-action: Always In direction, market condition, trend strength.chart-patterns: Primary pattern type, pattern confidence, secondary patterns.Match the identified pattern and market condition against gold.technical_setups:
search_technical_setups(
pattern_type=<pullback|breakout|reversal|trend_following|range_trading>,
market_condition=<trending_up|trending_down|ranging>,
timeframe=<derived from time horizon>,
instrument_scope=[<equity|option|futures>]
)research_score descending. Higher score = more thoroughly researched setup.get_technical_setup(setup_id=<best_match>) to retrieve complete rules.market_condition and pattern_type match the current analysis?references/execution-scenarios.md. Flag as coverage_gap.Build a complete trade plan by merging methodology with the matched setup's parameters.
Entry specification:
Stop placement:
Profit targets:
Position sizing:
Invalidation conditions:
Produce the final executable trade plan:
{ticker}/{YYYY-MM-DD_HHMM}_trade-execution_{affix}.md
| Error | Fallback |
|---|---|
| No matching setup from MCP | Use manual execution rules from references/execution-scenarios.md; flag coverage_gap |
search_technical_setups unreachable | Proceed with manual rules only; flag all parameters as manually derived |
| Pattern confidence low | Reduce position size by 50%; flag as lower-confidence trade |
| Conflicting upstream signals | Hold; do not trade. Flag conflict for manual review |
| No context from upstream skills | Derive market structure from raw price data where possible; flag degraded |
See contracts/memory-load.md.
See contracts/snapshot-synthesis.md.
Include ### Key Citations block with 0-10 clickable /v/ URLs referencing the matched gold.technical_setups entries.
references/execution-scenarios.mdcontracts/citation-and-memory.mdcontracts/output-frontmatter-schema.mdcontracts/memory-load.mdcontracts/snapshot-synthesis.mdcontracts/preflight.mdcontracts/retrieval.md© agentii-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution of agentii-ai/agentii-investment-intelligence.
Open the folder on GitHubat commit 86980e1
Trade Execution 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 |
|---|---|---|---|---|---|---|
| Trade Execution this skillagentii-ai/agentii-investment-intelligence | 207 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Tushare Datazillionare/zillionare | 319 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Digital Oraclekomako-workshop/digital-oracle | 870 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Fintoolsecond-state/fintool | 316 | 1 repos | ~5.9k | Automated safety check: Pass | None | |
| Polyclawchainstacklabs/polyclaw | 360 | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 |
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
atilaahmettaner/tradingview-mcp
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and…
komako-workshop/digital-oracle
Answer prediction questions using market trading data, not opinions.
second-state/fintool
Financial trading CLIs — spot and perp trading on Hyperliquid, Binance, Coinbase, OKX.
chainstacklabs/polyclaw
Trade on Polymarket via split + CLOB execution. An agent skill from chainstacklabs/polyclaw.
facioquo/stock-indicators-dotnet
Format and lint Markdown in this repository against GitHub Flavored Markdown and its markdownlint-cli2 configuration — headers, lists, code fences, callouts (VitePress containers on docs-site pages…
agentii-ai/agentii-investment-intelligence
The research-domain clarification skill — find underspecified items in a thesis spec.md (prose wrongif, universe rows without rationale, missing budget/expiry/pins, ambiguous pillars), ask the human…
agentii-ai/agentii-investment-intelligence
Scaffold and amend the L1 Investment Constitution — [ALLCAPS] placeholder bootstrap, SemVer bump rules, Sync Impact Report, MINOR/MAJOR re-examination dispatch after the gate-5 budget confirm.
agentii-ai/agentii-investment-intelligence
Execute research tasks — checklist soft gate, phase dispatch with explicit thesisdir, budget enforcement (halt + approval card on overrun), skillpin recording (versionhash content-hashed per skill…
agentii-ai/agentii-investment-intelligence
Decompose the plan into research tasks — one task per ticker × skill × mode, grouped by pillar, [P]-marked by the different-files-and-no-incomplete-deps rule, with source-refs.
agentii-ai/agentii-investment-intelligence
Adversarial verification of research theses — cross-run/cross-thesis contradiction via the entity index, pre-mortem (Klarman/Kahneman: assume the loss already happened, reverse the path), inversion…
agentii-ai/agentii-investment-intelligence
Chart pattern recognition, price action patterns, candlestick signal bars, pullback bar counting H1/H2/H3/H4, trend channels, micro channels, trading ranges, breakouts, major trend reversals 5-step…
Categories
Trade execution using price action setups, major trend reversal trading top and bottom, MTR failure continuation, strong bull and bear breakout trading, strong and weak channel trading strategies…. Trade Execution is an agent skill from agentii-ai/agentii-investment-intelligence.
Trade Execution fits situations like: tasks that involve Trading and backtesting.
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill trade-execution -a claude-code`. Or copy the skill folder (plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution in agentii-ai/agentii-investment-intelligence) into .claude/skills/trade-execution in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill trade-execution -a codex`. Or copy the skill folder (plugins/vertical-plugins/technical-analysis/skills/agentii/trade-execution in agentii-ai/agentii-investment-intelligence) into .agents/skills/trade-execution in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentii-ai/agentii-investment-intelligence --skill trade-execution -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trade-execution, .gemini/skills/trade-execution, .github/skills/trade-execution and .opencode/skills/trade-execution in your project.
SKILL.md names no scripts, command-line tools or credentials: Trade Execution is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Trade Execution is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Trade Execution: Tushare Data (zillionare/zillionare, 319 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 870 stars) and Fintool (second-state/fintool, 316 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agentii-ai (a GitHub user) maintains it in agentii-ai/agentii-investment-intelligence, which has 207 GitHub stars. The repository holds 79 skills in this directory. The repository was last updated on September 29, 2026.
Source: agentii-ai/agentii-investment-intelligence on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.