Agent skill

Stockbee Episodic Pivot Analyzer

by tradermonty in tradermonty/claude-trading-skills

MITAuto-check passedBusiness, Finance & HR

Install Stockbee Episodic Pivot Analyzer

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-episodic-pivot-analyzer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-episodic-pivot-analyzer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/stockbee-episodic-pivot-analyzer .claude/skills/stockbee-episodic-pivot-analyzer && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "stockbee-episodic-pivot-analyzer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-episodic-pivot-analyzer into .claude/skills/stockbee-episodic-pivot-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-episodic-pivot-analyzer", 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

$skill-installer install https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-episodic-pivot-analyzer

Type 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.

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-episodic-pivot-analyzer -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-episodic-pivot-analyzer --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/stockbee-episodic-pivot-analyzer .agents/skills/stockbee-episodic-pivot-analyzer && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "stockbee-episodic-pivot-analyzer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-episodic-pivot-analyzer into .agents/skills/stockbee-episodic-pivot-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-episodic-pivot-analyzer", 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.

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-episodic-pivot-analyzer -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-episodic-pivot-analyzer --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/stockbee-episodic-pivot-analyzer .cursor/skills/stockbee-episodic-pivot-analyzer && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "stockbee-episodic-pivot-analyzer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-episodic-pivot-analyzer into .cursor/skills/stockbee-episodic-pivot-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-episodic-pivot-analyzer", 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

$ gemini skills install https://github.com/tradermonty/claude-trading-skills.git --path skills/stockbee-episodic-pivot-analyzer

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-episodic-pivot-analyzer -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-episodic-pivot-analyzer --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/stockbee-episodic-pivot-analyzer .gemini/skills/stockbee-episodic-pivot-analyzer && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "stockbee-episodic-pivot-analyzer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-episodic-pivot-analyzer into .gemini/skills/stockbee-episodic-pivot-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-episodic-pivot-analyzer", 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.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-episodic-pivot-analyzer

Installs 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).

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-episodic-pivot-analyzer -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/stockbee-episodic-pivot-analyzer .github/skills/stockbee-episodic-pivot-analyzer && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "stockbee-episodic-pivot-analyzer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-episodic-pivot-analyzer into .github/skills/stockbee-episodic-pivot-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-episodic-pivot-analyzer", 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.

skills CLI

$ npx skills add tradermonty/claude-trading-skills --skill stockbee-episodic-pivot-analyzer -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install tradermonty/claude-trading-skills stockbee-episodic-pivot-analyzer --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/stockbee-episodic-pivot-analyzer .opencode/skills/stockbee-episodic-pivot-analyzer && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "stockbee-episodic-pivot-analyzer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/stockbee-episodic-pivot-analyzer into .opencode/skills/stockbee-episodic-pivot-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stockbee-episodic-pivot-analyzer", 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: stockbee-episodic-pivot-analyzer
GitHub stars: 3k
Used in: 1 other repo
Token cost: ~1.2k tokens
SKILL.md length: 337 words
Files: 7 (incl. scripts, references)
Skills in repo: 74
Repo updated: Oct 11, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 4 steps: Prepare Candidate Inputs → Run the Analyzer → Review the Output → …
The user asks for EP candidates
SKILL.md covers When to Use, Prerequisites, Workflow and Output, plus 1 more section
Runs Python scripts from its folder; calls python3; needs FMP_API_KEY

What it does

Stockbee Episodic Pivot Analyzer is an agent skill from tradermonty/claude-trading-skills. Analyze Stockbee-style Day 1 Episodic Pivot candidates from earnings, guidance raises, M&A, FDA/regulatory approvals, analyst actions, major contracts, product launches, short-squeeze catalysts, or theme/story events. Scores catalyst quality together with gap/range expansion, volume shock, neglect/revaluation context, liquidity, and risk to the EP-day low. Use when the user asks for EP candidates, episodic pivots, Day 1 catalyst trades, game-changing news reactions, delayed EP watchlists, or handoffs into PEAD…

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/catalyst_quality.md`, `references/ep_methodology.md` and `references/handoff_rules.md`).

It sits in Business, Finance & HR, covering Product launch strategy. The repository describes itself as: Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development. The licence is MIT.

When your agent uses it

The user asks for EP candidates
Episodic pivots
Day 1 catalyst trades
Game-changing news reactions

Example prompts

“/stockbee-episodic-pivot-analyzer”

Requirements

Python 3
A credential in FMP_API_KEY

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Prepare Candidate Inputs
Run the Analyzer
Review the Output
Handoff Rules

What it can do on your machine

Read from SKILL.md and the folder at commit c8d58f0. 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
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
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 these keys or tokens, usually read from environment variables:
- FMP_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Stockbee Episodic Pivot Analyzer loads about 1.2k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 140 tokens; SKILL.md has 337 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~140
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~2.7k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from tradermonty/claude-trading-skills at commit c8d58f0, republished under its MIT licence (© tradermonty). 337 words, ~1,173 tokens.

Download SKILL.mdSave it as .claude/skills/stockbee-episodic-pivot-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.

name: stockbee-episodic-pivot-analyzer
description: Analyze Stockbee-style Day 1 Episodic Pivot candidates from earnings, guidance raises, M&A, FDA/regulatory approvals, analyst actions, major contracts, product launches, short-squeeze catalysts, or theme/story events. Scores catalyst quality together with gap/range expansion, volume shock, neglect/revaluation context, liquidity, and risk to the EP-day low. Use when the user asks for EP candidates, episodic pivots, Day 1 catalyst trades, game-changing news reactions, delayed EP watchlists, or handoffs into PEAD monitoring.

Stockbee Episodic Pivot Analyzer

Classify Day 1 Episodic Pivot (EP) candidates using both catalyst quality and price/volume confirmation. The skill is a candidate-quality analyzer, not an execution engine.

When to Use

The user asks for Pradeep Bonde / Stockbee style EP candidates
The user provides earnings, guidance, M&A, FDA, analyst, contract, product, short-squeeze, or theme/news events
The user wants to separate ACTIONABLE_DAY1 candidates from DELAYED_EP_WATCH names
The user wants to hand strong earnings/guidance EPs into pead-screener
The user wants to combine catalyst analysis with stockbee-momentum-burst-screener price/volume output

Prerequisites

Python 3.10+
Optional: FMP API key for OHLCV/profile enrichment
One of:
- Catalyst/events JSON
- earnings-trade-analyzer JSON output
- Catalyst JSON plus stockbee-momentum-burst-screener JSON enrichment
This skill does not fetch or discover news by itself. If the catalyst is not supplied, first gather the event/news context using the user's preferred news or research process.

Workflow

Step 1: Prepare Candidate Inputs

Use one or more of these input modes.

Mode A — Catalyst/event JSON:

json

{
  "events": [
    {
      "symbol": "ABC",
      "event_date": "2026-04-25",
      "catalyst_type": "guidance_raise",
      "headline": "ABC raises FY guidance after record demand",
      "summary": "Management raised revenue and EPS guidance."
    }
  ]
}

Mode B — Earnings pipeline:

Use the JSON produced by earnings-trade-analyzer.

Mode C — Price/volume enrichment:

Pass a stockbee-momentum-burst-screener JSON report to reuse day-gain, volume, close-location, and risk-distance fields.

Step 2: Run the Analyzer

bash

# Catalyst JSON + offline OHLCV
python3 skills/stockbee-episodic-pivot-analyzer/scripts/analyze_ep.py \
  --events-json data/catalysts.json \
  --prices-json data/daily_ohlcv.json \
  --output-dir reports/

# Earnings pipeline input
python3 skills/stockbee-episodic-pivot-analyzer/scripts/analyze_ep.py \
  --earnings-json reports/earnings_trade_analyzer_YYYY-MM-DD_HHMMSS.json \
  --output-dir reports/

# Catalyst JSON + Stockbee momentum enrichment
python3 skills/stockbee-episodic-pivot-analyzer/scripts/analyze_ep.py \
  --events-json data/catalysts.json \
  --momentum-json reports/stockbee_momentum_burst_YYYY-MM-DD_HHMMSS.json \
  --output-dir reports/

Optional FMP enrichment:

bash

export FMP_API_KEY=your_key
python3 skills/stockbee-episodic-pivot-analyzer/scripts/analyze_ep.py \
  --events-json data/catalysts.json \
  --max-api-calls 200 \
  --output-dir reports/

Step 3: Review the Output

For each candidate, present:

state: ACTIONABLE_DAY1, DAY1_WATCH, DELAYED_EP_WATCH, CATALYST_WATCH, or REJECT
ep_type: EARNINGS_EP, GUIDANCE_EP, FDA_EP, M_AND_A_EP, STORY_EP, etc.
Catalyst quality score and reasons
Price/range expansion, volume shock, and close-location quality
Risk to EP-day low
pead_handoff and delayed_ep_watch flags

Step 4: Handoff Rules

ACTIONABLE_DAY1: Send to technical-analyst and position-sizer before any trade decision.
DAY1_WATCH: Keep on the intraday/next-day watchlist; require chart confirmation.
DELAYED_EP_WATCH: Do not chase Day 1; monitor for a controlled pullback or new range.
CATALYST_WATCH: Catalyst may be important, but price/volume confirmation is not yet sufficient.
REJECT: Do not trade from this candidate source.
Earnings/guidance EPs with pead_handoff=true can be sent to pead-screener for weekly red-candle / delayed reaction monitoring.

Output

stockbee_episodic_pivot_YYYY-MM-DD_HHMMSS.json — structured EP scoring report
stockbee_episodic_pivot_YYYY-MM-DD_HHMMSS.md — human-readable candidate report

Resources

references/ep_methodology.md — Stockbee EP interpretation and setup taxonomy
references/catalyst_quality.md — catalyst classification and quality scoring
references/handoff_rules.md — downstream workflow handoffs and review rules

Files

SKILL.md and 6 other files (scripts, references) in skills/stockbee-episodic-pivot-analyzer of tradermonty/claude-trading-skills.

SKILL.md
references/catalyst_quality.md
references/ep_methodology.md
references/handoff_rules.md
requirements.txt
scripts/analyze_ep.py
scripts/tests/test_analyze_ep.py

Open the folder on GitHubat commit c8d58f0

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in tradermonty/claude-trading-skills, which our catalogue first saw on October 7, 2026.

BaggaT236/AI-Trading-Skillsskills/stockbee-episodic-pivot-analyzer

Compare with similar skills

Stockbee Episodic Pivot Analyzer 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.

Stockbee Episodic Pivot Analyzer compared with similar skills
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Stockbee Episodic Pivot Analyzer this skilltradermonty/claude-trading-skills	3k	1 repos	~1.2k	Automated safety check: Pass	MIT	today
Founder Videopexoai/pexo-skills	804	—	~1.4k	Automated safety check: Pass	MIT	1 mo ago
Catalyst Calendarrongxinzy/RongxinAI	154	1 repos	~774	Automated safety check: Pass	AGPL-3.0	yesterday
Apqphashgraph-online/awesome-codex-plugins	1.3k	—	~2.6k	Automated safety check: Pass	MIT	yesterday
Serenity Alphahaskaomni/serenity-skill	633	—	~2.6k	Automated safety check: Pass	MIT	2 mo ago
Insurgent Campaignbencium/bencium-marketplace	446	—	~12k	Automated safety check: Pass	MIT	7 days ago

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Questions about Stockbee Episodic Pivot Analyzer

What does Stockbee Episodic Pivot Analyzer do?

Analyze Stockbee-style Day 1 Episodic Pivot candidates from earnings, guidance raises, M&A, FDA/regulatory approvals, analyst actions, major contracts, product launches, short-squeeze catalysts, or…. Stockbee Episodic Pivot Analyzer is an agent skill from tradermonty/claude-trading-skills. Analyze Stockbee-style Day 1 Episodic Pivot candidates from earnings, guidance raises, M&A, FDA/regulatory approvals, analyst actions, major contracts, product launches, short-squeeze catalysts, or theme/story events.

When should I use Stockbee Episodic Pivot Analyzer?

Stockbee Episodic Pivot Analyzer fits situations like: the user asks for EP candidates; episodic pivots; day 1 catalyst trades; game-changing news reactions.

How do I install Stockbee Episodic Pivot Analyzer in Claude Code?

Run `npx skills add tradermonty/claude-trading-skills --skill stockbee-episodic-pivot-analyzer -a claude-code`. Or copy the skill folder (skills/stockbee-episodic-pivot-analyzer in tradermonty/claude-trading-skills) into .claude/skills/stockbee-episodic-pivot-analyzer in your project. Claude Code loads it when a task matches its description.

How do I install Stockbee Episodic Pivot Analyzer in Codex?

Run `npx skills add tradermonty/claude-trading-skills --skill stockbee-episodic-pivot-analyzer -a codex`. Or copy the skill folder (skills/stockbee-episodic-pivot-analyzer in tradermonty/claude-trading-skills) into .agents/skills/stockbee-episodic-pivot-analyzer in your project. Codex loads it when a task matches its description.

Can I use Stockbee Episodic Pivot Analyzer 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 tradermonty/claude-trading-skills --skill stockbee-episodic-pivot-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stockbee-episodic-pivot-analyzer, .gemini/skills/stockbee-episodic-pivot-analyzer, .github/skills/stockbee-episodic-pivot-analyzer and .opencode/skills/stockbee-episodic-pivot-analyzer in your project.

What does Stockbee Episodic Pivot Analyzer need to run?

Going by SKILL.md and its folder, Stockbee Episodic Pivot Analyzer needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named FMP_API_KEY. Our summary lists: Python 3; A credential in FMP_API_KEY.

Does Stockbee Episodic Pivot Analyzer 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 Stockbee Episodic Pivot Analyzer 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Stockbee Episodic Pivot Analyzer use?

Stockbee Episodic Pivot Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Stockbee Episodic Pivot Analyzer use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 1.5k tokens, read only when the agent opens those files.

What are the alternatives to Stockbee Episodic Pivot Analyzer?

Skills that share tags, products or a category with Stockbee Episodic Pivot Analyzer: Founder Video (pexoai/pexo-skills, 804 stars), Catalyst Calendar (rongxinzy/RongxinAI, 154 stars), Apqp (hashgraph-online/awesome-codex-plugins, 1.3k stars) and Serenity Alpha (haskaomni/serenity-skill, 633 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Stockbee Episodic Pivot Analyzer?

tradermonty (a GitHub user) maintains it in tradermonty/claude-trading-skills, which has 2,982 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 11, 2026.

Source: tradermonty/claude-trading-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Stockbee Episodic Pivot Analyzer

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At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Stockbee Episodic Pivot Analyzer

When to Use

Prerequisites

Workflow

Step 1: Prepare Candidate Inputs

Step 2: Run the Analyzer

Step 3: Review the Output

Step 4: Handoff Rules

Output

Resources

Files

Used in 1 other repository

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