Standardized trade idea template, multi-method price target derivation PE and sales multiple approaches, GAAP to non-GAAP reconciliation, base bull bear scenario construction, investment thesis…

Apache-2.0Auto-check passedBusiness, Finance & HR

Install Trade Template

skills CLI
$ npx skills add agentii-ai/agentii-investment-intelligence --skill trade-template -a claude-code

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

GitHub CLI
$ gh skill install agentii-ai/agentii-investment-intelligence trade-template --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/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/vertical-plugins/idea-generation/skills/agentii/trade-template .claude/skills/trade-template && 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/

Facts

Skill name
trade-template
GitHub stars
207
Token cost
~2k tokens
SKILL.md length
830 words
Files
3 (incl. references)
Skills in repo
79
Repo updated
First seen
Licence
Apache-2.0

At a glance

Standardized trade idea template, multi-method price target derivation PE and sales multiple approaches, GAAP to non-GAAP reconciliation, base bull bear scenario construction, investment thesis…

  • Works in 3 steps: Upstream outputs — quantitative… → Market data — current price, sector… → Strategy frameworks —…
  • Tasks that involve Essays and academic help
  • SKILL.md covers Defaults, Preflight, Data Source Priority and Methodology, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Trade Template is an agent skill from agentii-ai/agentii-investment-intelligence. Standardized trade idea template, multi-method price target derivation PE and sales multiple approaches, GAAP to non-GAAP reconciliation, base bull bear scenario construction, investment thesis structuring, Zendesk-style case methodology

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/modes.md` and `references/template-methodology.md`).

It sits in Business, Finance & HR, covering Essays and academic help and Accounting and bookkeeping. It works with Zendesk. 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.

When your agent uses it

  • Tasks that involve Essays and academic help
  • Tasks that involve Accounting and bookkeeping

Example prompts

  • “/trade-template”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Upstream outputs — quantitative screening results + qualitative filtering assessment
  2. Market data — current price, sector multiples, historical ranges via market data tools
  3. Strategy frameworks — search_investment_strategies(kind=thesis) for thesis construction methodology

What it can do on your machine

Read from SKILL.md and the folder at commit 86980e1. 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

Trade Template loads about 2k tokens when it runs, and up to ~7.2k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 830 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.2k

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 agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 830 words, ~2,028 tokens.

Download SKILL.mdSave it as .claude/skills/trade-template/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
trade-template
description
Standardized trade idea template, multi-method price target derivation PE and sales multiple approaches, GAAP to non-GAAP reconciliation, base bull bear scenario construction, investment thesis structuring, Zendesk-style case methodology
multi_ticker_semantics
single_target
temporal_scope.default_quarters
4
temporal_scope.max_quarters
12
temporal_scope.description
Price targets project 12-month forward; 4 quarters default.
retrieval_scope
structured_only
layer_tags
L2, L3
min_tool_diversity
2
parameter_free
false

Methodology fused from professional trading and investment frameworks; all text is an original paraphrase.

Defaults

ParameterDefault ValueRationale
target_horizon_months12Standard forward price target horizon
scenario_probability_sum100%Bear + Base + Bull must sum to 100%
default_position_size3-5%Standard single-position risk allocation

Preflight

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).

Data Source Priority

  1. Upstream outputs — quantitative screening results + qualitative filtering assessment
  2. Market data — current price, sector multiples, historical ranges via market data tools
  3. Strategy frameworks — search_investment_strategies(kind=thesis) for thesis construction methodology

Methodology

Retrieval Scope

structured_only

Retrieval Strategy

Ownership & insider signals: search_institutional_holdings (top-10 holders + whale portfolios, direction=accumulating|reducing|new|exited) and search_insider_trades (Form-4 transactions with SEC URLs) are available as signal inputs.

Branch (d) Simple Lookup from contracts/retrieval.md: template methodology is embedded in this Protocol. Market data from data tools. Strategy frameworks via search_investment_strategies for thesis construction validation.

Temporal Scope

See frontmatter temporal_scope block.

Tool Allowlist

See frontmatter allowed_tools.

Protocol

This skill converts quantitative and qualitative analysis outputs into a structured, actionable trade template. A trade idea without a template is an opinion; with a template, it is a testable hypothesis. Every trade outcome becomes a learning data point because the template captures what was known and assumed at entry.

Detailed methodology: price target derivation with formulas, comps spreading workflow, GAAP/non-GAAP rules, scenario construction with probability calibration, and position sizing framework are in references/template-methodology.md.

Steps
  1. Data Assembly: Gather all upstream outputs (quant metrics, financial validation, qual assessments, management/board flags, peer group, macro bias). Organize into template sections. Flag gaps — incomplete templates cannot support capital allocation.

  2. Price Target Derivation (three methods, blend by business model per reference weights table):

    • P/E: Justified P/E triangulated from: historical range 25th-75th percentile, PEG-implied (growth × sector PEG), sector median with growth adjustment. Upper/lower bounds from bull/bear EPS × quartile multiples.
    • EV/EBITDA: For capital-intensive, highly levered, M&A contexts. Sector median ± growth/margin/ROIC adjustment. Target equity = Target EV − Net Debt.
    • Sales Multiple: For pre-profit/cyclical. Adjust for margin profile (5% margin at 2x P/S > 20% margin at 4x P/S). Recurring revenue premium.
    • Blend: asset-light 60/30/10 (PE/EV-EBITDA/PS), capital-intensive 30/50/20, financials 50/—/50(P/B), pre-profit —/30/70.
  3. Trading Comps Spreading: Select 4-6 peers via dual-path. Spread revenue, EBITDA, EBIT, EPS, FCF (3yr historical + 2yr forward). Normalize for SBC/amortization/non-recurring differences. Calendarize different fiscal years. Output median + quartiles. Target multiple = peer median ± adjustment for growth, margin, ROIC, leverage, liquidity.

  4. GAAP/non-GAAP Reconciliation: Identify all differences (SBC, amortization, restructuring, impairments, litigation, M&A, asset sales, debt extinguishment, tax). SBC: always include for true economic cost; may exclude for comps ONLY with flag. SBC > 10% revenue = structural issue. "Non-recurring" in 3+/4 quarters = recurring. Normalized = GAAP NI + justified adjustments. Show GAAP alongside.

  5. Scenario Construction: Base 55% (consensus + variant view), Bull 20% (all catalysts, multiple expansion), Bear 25% (catalyst failure, contraction). Probabilities sum to 100%. Bear must be genuinely adverse. EV = Σ(Value × Prob). Margin of Safety = (EV/Price)-1. > 30% high conviction, 15-30% medium, < 15% watchlist.

  6. Thesis Statement: One paragraph, five elements: (1) consensus view, (2) variant view + why, (3) dateable catalyst, (4) quantified return, (5) key risk. Format: "Market believes [X]. We believe [Y] because [evidence]. Converges when [catalyst] within [timeframe], generating [return] against risk of [downside]." Avoid: describing company (no variant), no catalyst, too long, no risk.

  7. Position Sizing: Default 3-5%. Conviction: high→5%, medium→3-4%, low→watchlist. Binary catalyst→reduce 25-33%. R/R > 3:1→upper, 2:1-3:1→standard, < 2:1→skip. Correlation check: correlated with existing→reduce/replace. Hard Day-60 review: no catalyst→exit. Build football field. Handoff complete template.

Show full SKILL.md (246 more words)Show less

Output File

{ticker}/{YYYY-MM-DD_HHMM}_trade-template_{affix}.md

Output Structure

  1. Executive Summary — Thesis in one paragraph, price target, expected return, conviction level
  2. Company Overview — Business description, sector, market cap, key financial summary
  3. Quantitative Summary — Key screening metrics, outlier classification, financial validation highlights, peer group
  4. Qualitative Summary — KPI assessment, MOP credibility (5-dimension scorecard), management/board quality flags, key catalyst(s)
  5. Price Target Derivation — PE method (justified P/E triangulation), EV/EBITDA method, Sales Multiple method, blended target with weights, cross-checks
  6. Trading Comps Output — Peer group with multiples, median/quartile statistics, calendarization notes, target multiple derivation
  7. GAAP/non-GAAP Reconciliation — Key adjustments with justification, SBC assessment, normalized earnings calculation
  8. Scenario Analysis — Bear (25%)/Base (55%)/Bull (20%) with probabilities, values, implied returns, probability-weighted expected value
  9. Investment Thesis — Market view vs. variant view (all 5 required elements), catalyst for convergence, timeframe
  10. Risk Assessment — Key risks, maximum adverse scenario, thesis invalidation triggers
  11. Position Recommendation — Suggested position size with conviction/catalyst/RR rationale, entry strategy
  12. Football Field Matrix — Trading comps vs. DCF vs. transaction comps vs. 52-week range vs. current price vs. target range
  13. Coverage Gaps — Data limitations, assumptions flagged for monitoring

Error Handling

ErrorFallback
Insufficient data for price targetUse single-method approach; flag low confidence
GAAP/non-GAAP data unavailableUse reported GAAP; flag potential distortion
No comparable peer groupUse historical company multiples; flag peer gap

Memory Load

See contracts/memory-load.md.

Snapshot

See contracts/snapshot-synthesis.md.

Final Summary (TUI)

Include ### Key Citations block with 0-10 clickable /v/ URLs.

References

  • references/template-methodology.md
  • contracts/citation-and-memory.md
  • contracts/output-frontmatter-schema.md
  • contracts/memory-load.md
  • contracts/snapshot-synthesis.md
  • contracts/preflight.md
  • contracts/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

Files

SKILL.md and 2 other files (references) in plugins/vertical-plugins/idea-generation/skills/agentii/trade-template of agentii-ai/agentii-investment-intelligence.

  • SKILL.md
  • references/modes.md
  • references/template-methodology.md

Open the folder on GitHubat commit 86980e1

Compare with similar skills

Trade Template 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.

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Earnings Report Analysisbyteseek/Mira275—~2.6kAutomated safety check: PassApache-2.0

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Works with

Questions about Trade Template

What does Trade Template do?

Standardized trade idea template, multi-method price target derivation PE and sales multiple approaches, GAAP to non-GAAP reconciliation, base bull bear scenario construction, investment thesis…. Trade Template is an agent skill from agentii-ai/agentii-investment-intelligence.

When should I use Trade Template?

Trade Template fits situations like: tasks that involve Essays and academic help; tasks that involve Accounting and bookkeeping.

How do I install Trade Template in Claude Code?

Run `npx skills add agentii-ai/agentii-investment-intelligence --skill trade-template -a claude-code`. Or copy the skill folder (plugins/vertical-plugins/idea-generation/skills/agentii/trade-template in agentii-ai/agentii-investment-intelligence) into .claude/skills/trade-template in your project. Claude Code loads it when a task matches its description.

How do I install Trade Template in Codex?

Run `npx skills add agentii-ai/agentii-investment-intelligence --skill trade-template -a codex`. Or copy the skill folder (plugins/vertical-plugins/idea-generation/skills/agentii/trade-template in agentii-ai/agentii-investment-intelligence) into .agents/skills/trade-template in your project. Codex loads it when a task matches its description.

Can I use Trade Template 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 agentii-ai/agentii-investment-intelligence --skill trade-template -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-template, .gemini/skills/trade-template, .github/skills/trade-template and .opencode/skills/trade-template in your project.

What does Trade Template need to run?

SKILL.md names no scripts, command-line tools or credentials: Trade Template is instructions for the agent only.

Does Trade Template 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 Trade Template 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 Trade Template use?

Trade Template 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.

How many tokens does Trade Template use?

About 2k tokens (SKILL.md is roughly 8.1k 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 5.2k tokens, read only when the agent opens those files.

What are the alternatives to Trade Template?

Skills that share tags, products or a category with Trade Template: Sec Filing Analysis (byteseek/Mira, 275 stars), Equity Research Core (byteseek/Mira, 275 stars), Weekly Trading Plan (zhu1090093659/dsh-trading, 236 stars) and Lockedin Capture (daypunk/LockedIn, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Trade Template?

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.