Brainstorming
obra/superpowers
Makes the agent clarify intent and agree on a design with you before writing any code, scaling the process from a quick spike to a written spec.
Systematic stock screening and investment idea sourcing. An agent skill from rongxinzy/RongxinAI.
Install Idea Generation
$ npx skills add rongxinzy/RongxinAI --skill idea-generation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rongxinzy/RongxinAI idea-generation --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/rongxinzy/RongxinAI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation .claude/skills/idea-generation && 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 "idea-generation" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation into .claude/skills/idea-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-generation", 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/rongxinzy/RongxinAI/tree/main/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generationType 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 rongxinzy/RongxinAI --skill idea-generation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rongxinzy/RongxinAI idea-generation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation .agents/skills/idea-generation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "idea-generation" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation into .agents/skills/idea-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-generation", 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 rongxinzy/RongxinAI --skill idea-generation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rongxinzy/RongxinAI idea-generation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation .cursor/skills/idea-generation && 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 "idea-generation" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation into .cursor/skills/idea-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-generation", 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/rongxinzy/RongxinAI.git --path SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation--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 rongxinzy/RongxinAI --skill idea-generation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rongxinzy/RongxinAI idea-generation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation .gemini/skills/idea-generation && 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 "idea-generation" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation into .gemini/skills/idea-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-generation", 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 rongxinzy/RongxinAI idea-generationInstalls 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 rongxinzy/RongxinAI --skill idea-generation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .github/skills && cp -r skills-src/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation .github/skills/idea-generation && 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 "idea-generation" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation into .github/skills/idea-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-generation", 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 rongxinzy/RongxinAI --skill idea-generation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rongxinzy/RongxinAI idea-generation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation .opencode/skills/idea-generation && 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 "idea-generation" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation into .opencode/skills/idea-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-generation", 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
idea-generation- GitHub stars
- 154
- Used in
- 1 other repo
- Token cost
- ~960 tokens
- SKILL.md length
- 445 words
- Files
- 1
- Skills in repo
- 94
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Systematic stock screening and investment idea sourcing. An agent skill from rongxinzy/RongxinAI.
- Works in 5 steps: Define Search Criteria → Quantitative Screens → Thematic Sweep → …
- Looking for new ideas
- SKILL.md covers Workflow and Important Notes
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Idea Generation is an agent skill from rongxinzy/RongxinAI. Systematic stock screening and investment idea sourcing. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Use when looking for new ideas, running screens, or conducting thematic sweeps. Triggers on "idea generation", "stock screen", "find ideas", "what looks interesting", "screen for", "new ideas", or "pitch me something".
Its SKILL.md is about 960 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 Agent Workflows, covering Brainstorming. The repository describes itself as: An all-in-one local AI Agent workspace with a fully self-developed stack. The licence is AGPL-3.0.
When your agent uses it
- Looking for new ideas
- Running screens
- Conducting thematic sweeps
- Idea generation
Example prompts
- “idea generation”
- “stock screen”
- “find ideas”
- “/idea-generation”
Workflow steps
5 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 9c64865. 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
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.
Network
No URLs in SKILL.md.
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
Idea Generation loads about 960 tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 445 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 rongxinzy/RongxinAI at commit 9c64865, republished under its AGPL-3.0 licence (© rongxinzy). 445 words, ~960 tokens.
Download SKILL.mdSave it as
.claude/skills/idea-generation/SKILL.md (or your agent's skills folder).- name
- idea-generation
- description
- Systematic stock screening and investment idea sourcing. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Use when looking for new ideas, running screens, or conducting thematic sweeps. Triggers on "idea generation", "stock screen", "find ideas", "what looks interesting", "screen for", "new ideas", or "pitch me something".
Idea Generation
Workflow
Step 1: Define Search Criteria
Ask the user for parameters:
- Direction: Long ideas, short ideas, or both
- Market cap: Large, mid, small, micro
- Sector: Specific sector or cross-sector
- Style: Value, growth, quality, special situation, event-driven
- Geography: US, international, global
- Theme: Any specific thematic angle (AI, reshoring, aging demographics, etc.)
Step 2: Quantitative Screens
Run screens based on the style:
Value Screen
- P/E below sector median
- EV/EBITDA below historical average
- Free cash flow yield >5%
- Price/book below 1.5x
- Insider buying in last 90 days
- Dividend yield above market average
Growth Screen
- Revenue growth >15% YoY
- Earnings growth >20% YoY
- Revenue acceleration (growth rate increasing)
- Expanding margins
- High return on invested capital (>15%)
- Strong net retention (>110% for SaaS)
Quality Screen
- Consistent revenue growth (5+ years)
- Stable or expanding margins
- ROE >15%
- Low debt/equity
- High free cash flow conversion
- Insider ownership >5%
Short Screen
- Declining revenue or decelerating growth
- Margin compression
- Rising receivables / inventory vs. sales
- Insider selling
- Valuation premium to peers without justification
- High short interest with deteriorating fundamentals
- Accounting red flags (auditor changes, restatements)
Special Situation Screen
- Recent IPOs / SPACs with lockup expirations
- Spin-offs in last 12 months
- Companies emerging from restructuring
- Activist involvement
- Management changes at underperforming companies
Step 3: Thematic Sweep
For thematic ideas, research the theme and identify beneficiaries:
- Define the thesis (e.g., "AI infrastructure spending accelerates through 2026")
- Map the value chain — who benefits directly vs. indirectly?
- Identify pure-play vs. diversified exposure
- Assess which names are already "priced in" vs. under-appreciated
- Look for second-order beneficiaries that the market hasn't connected to the theme
Show full SKILL.md (180 more words)Show less
Step 4: Idea Presentation
For each idea that passes the screen, present:
[Company Name] — [Long/Short] — [One-Line Thesis]
| Metric | Value | vs. Peers |
|---|---|---|
| Market cap | ||
| EV/EBITDA (NTM) | ||
| P/E (NTM) | ||
| Revenue growth | ||
| EBITDA margin | ||
| FCF yield |
Thesis (3-5 bullets):
- Why this is mispriced
- What the market is missing
- Catalyst to realize value
Key Risks:
- What would make this wrong
Suggested Next Steps:
- Build full model? Deep-dive diligence? Expert call?
Step 5: Output
- Shortlist of 5-10 ideas with one-page summaries
- Screening criteria and methodology documented
- Comparison table across all ideas
- Prioritized list: which ideas to research first
Important Notes
- Screens surface candidates, not conclusions — every screen output needs fundamental work
- The best ideas often come from intersections (e.g., quality company at value price due to temporary headwind)
- Avoid crowded trades — check ownership data, short interest, and how many analysts cover the name
- Contrarian ideas need a catalyst — being early without a catalyst is the same as being wrong
- Track idea hit rates over time — which screens and approaches produce the best ideas?
- Short ideas need higher conviction — timing is harder and risk is asymmetric
© rongxinzy, 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
Files
Just SKILL.md in SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation of rongxinzy/RongxinAI.
Open the folder on GitHubat commit 9c64865
Used in 1 other repository
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in rongxinzy/RongxinAI, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Idea Generation 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 |
|---|---|---|---|---|---|---|
| Idea Generation this skillrongxinzy/RongxinAI | 154 | 1 repos | ~960 | Automated safety check: Pass | AGPL-3.0 | |
| Brainstormingobra/superpowers | 297k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Brainstormingxpinjection/test-driven-spring-boot | 112 | 52 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Yao Meta Skillyaojingang/yao-meta-skill | 2.7k | — | ~768 | Automated safety check: Pass | MIT | |
| Typesafe AIOpenAgentsInc/openagents | 455 | 9 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Trellis StartROYIANS/foliq-print-template-designer | 136 | 6 repos | ~646 | Automated safety check: Pass | MIT |
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Questions about Idea Generation
What does Idea Generation do?
Systematic stock screening and investment idea sourcing. An agent skill from rongxinzy/RongxinAI. Idea Generation is an agent skill from rongxinzy/RongxinAI. Systematic stock screening and investment idea sourcing.
When should I use Idea Generation?
Idea Generation fits situations like: looking for new ideas; running screens; conducting thematic sweeps; idea generation.
How do I install Idea Generation in Claude Code?
Run `npx skills add rongxinzy/RongxinAI --skill idea-generation -a claude-code`. Or copy the skill folder (SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation in rongxinzy/RongxinAI) into .claude/skills/idea-generation in your project. Claude Code loads it when a task matches its description.
How do I install Idea Generation in Codex?
Run `npx skills add rongxinzy/RongxinAI --skill idea-generation -a codex`. Or copy the skill folder (SKILLs/zhiyuan-expert-manager/presets/equity-research/skills/idea-generation in rongxinzy/RongxinAI) into .agents/skills/idea-generation in your project. Codex loads it when a task matches its description.
Can I use Idea Generation 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 rongxinzy/RongxinAI --skill idea-generation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/idea-generation, .gemini/skills/idea-generation, .github/skills/idea-generation and .opencode/skills/idea-generation in your project.
What does Idea Generation need to run?
SKILL.md names no scripts, command-line tools or credentials: Idea Generation is instructions for the agent only.
Does Idea Generation access the network?
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.
Is Idea Generation 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 Idea Generation use?
Idea Generation 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 Idea Generation use?
About 960 tokens (SKILL.md is roughly 3.8k 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 Idea Generation?
Skills that share tags, products or a category with Idea Generation: Brainstorming (obra/superpowers, 297k stars), Brainstorming (xpinjection/test-driven-spring-boot, 112 stars), Yao Meta Skill (yaojingang/yao-meta-skill, 2.7k stars) and Typesafe AI (OpenAgentsInc/openagents, 455 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Idea Generation?
rongxinzy (a GitHub organization) maintains it in rongxinzy/RongxinAI, which has 154 GitHub stars. The repository holds 94 skills in this directory. The repository was last updated on October 10, 2026.
Source: rongxinzy/RongxinAI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.