Agent skill

Finance Psychology

by JoelLewis in JoelLewis/finance_skills

Recognize and mitigate cognitive biases that impair financial decisions, and coach clients toward values-driven financial lives.

MITAuto-check passedBusiness, Finance & HR

Install Finance Psychology

skills CLI
$ npx skills add JoelLewis/finance_skills --skill finance-psychology -a claude-code

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

GitHub CLI
$ gh skill install JoelLewis/finance_skills finance-psychology --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/JoelLewis/finance_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/wealth-management/skills/finance-psychology .claude/skills/finance-psychology && 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
finance-psychology
GitHub stars
206
Token cost
~4k tokens
SKILL.md length
2,165 words
Files
1
Skills in repo
91
Repo updated
First seen
Licence
MIT

At a glance

Recognize and mitigate cognitive biases that impair financial decisions, and coach clients toward values-driven financial lives.

  • Works in 4 steps: Open with appreciation — name something… → Review the numbers together — income,… → Discuss vision progress — what moved… → …
  • The user asks about behavioral finance
  • SKILL.md covers Core Concepts, Worked Examples, Common Pitfalls and Cross-References, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Finance Psychology is an agent skill from JoelLewis/finance_skills. Recognize and mitigate cognitive biases that impair financial decisions, and coach clients toward values-driven financial lives. Use when the user asks about behavioral finance, money psychology, loss aversion, overconfidence, herd behavior, or emotional investing. Also trigger when users mention 'why do I panic sell', 'money fights with my spouse', 'I can never save enough', 'fear of investing', 'lifestyle creep', 'keeping up with the Joneses', 'Rich Life', 'money scripts', or ask how emotions affect financial…

Its SKILL.md is about 4k 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 Business, Finance & HR. The repository describes itself as: Claude Code skill plugins for financial services — 81 skills across 7 domain plugins covering investment management, compliance, advisory practice, trading, and operations. The licence is MIT.

When your agent uses it

  • The user asks about behavioral finance
  • Money psychology
  • Emotional investing
  • Users mention why do I panic sell

Example prompts

  • “why do I panic sell”
  • “money fights with my spouse”
  • “I can never save enough”
  • “/finance-psychology”

Workflow steps

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

  1. Open with appreciation — name something your partner did with money that you valued.
  2. Review the numbers together — income, expenses, goal progress. Keep it factual.
  3. Discuss vision progress — what moved forward? What's one thing to experience this month?
  4. End on something positive.

What it can do on your machine

Read from SKILL.md and the folder at commit 5c498ea. 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

Finance Psychology loads about 4k tokens when it runs. Until then it costs about 137 tokens; SKILL.md has 2,165 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~137
When it runs · the whole SKILL.md, loaded when a task matches
~4k

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 JoelLewis/finance_skills at commit 5c498ea, republished under its MIT licence (© JoelLewis). 2,165 words, ~4,021 tokens.

Download SKILL.mdSave it as .claude/skills/finance-psychology/SKILL.md (or your agent's skills folder).
name
finance-psychology
description
Recognize and mitigate cognitive biases that impair financial decisions, and coach clients toward values-driven financial lives. Use when the user asks about behavioral finance, money psychology, loss aversion, overconfidence, herd behavior, or emotional investing. Also trigger when users mention 'why do I panic sell', 'money fights with my spouse', 'I can never save enough', 'fear of investing', 'lifestyle creep', 'keeping up with the Joneses', 'Rich Life', 'money scripts', or ask how emotions affect financial decisions.

Finance Psychology — Behavioral Finance & Money Coaching

Personal finance is mostly psychology, not mechanics. Until a client understands why they behave the way they do with money, and what they want money to do for them, spreadsheet optimization will not stick. This skill covers the coaching principles, client archetypes, cognitive biases, and conversation frameworks for behavioral money work.

Core Concepts

Foundational Principles

Short principles that should inform every coaching interaction:

  • No one is crazy. Financial behavior that looks irrational usually made sense in the lived experience that produced it. Ask "what experience taught you this was the right way to handle money?" before trying to change the behavior.
  • Luck and risk are real. Judge decisions by process, not outcome. This reduces both the overconfidence that follows wins and the shame that follows losses.
  • Define "enough" explicitly. Social comparison keeps the goalpost moving; no number feels sufficient if the reference point keeps shifting. Help clients name "enough" as a life, in writing — and never risk reputation, freedom, family, or happiness for more.
  • Compounding requires time, not heroics. Years invested matter more than return rate. Anything that interrupts compounding — panic selling, lifestyle inflation that eliminates savings, blow-up risk — is more destructive than earning merely average returns.
  • Getting wealthy and staying wealthy are different skills. Growth requires optimism and risk-taking; preservation requires humility, margin of safety, and liquidity. Coach risk-takers on preservation and natural savers on deployment.
  • Freedom is the underlying goal. When a client names a number, probe for the freedom underneath ("what would that let you do?") — it is often achievable earlier than the number.
  • Wealth is what you don't see. Visible spending is wealth already converted to consumption. Rich is current income; wealth is future optionality.
  • Reasonable beats rational. A slightly suboptimal plan the client can hold through a 35% drawdown beats an optimal plan they abandon. Ask: "If this dropped 35% next month, would you change anything?" If the answer is sell, de-risk now.

(Sources: Housel, Kahneman & Tversky, Thaler & Sunstein, Sethi — see Key Sources.)

Invisible Money Scripts

Unconscious beliefs about money absorbed from family and early experience: "we can't afford that" (scarcity even amid abundance), "rich people are greedy" (self-sabotage), "investing is gambling" (cash paralysis), "don't talk about money" (can't negotiate or discuss finances with a partner).

Identification: Ask "What did your parents say about money when you were growing up? What did they not say?" Listen for reflexive phrases ("I probably shouldn't spend that much") — scripts operating in real time.

Coaching approach: Name the script explicitly. Frame it as an inherited survival strategy that made sense in its original context; the client gets to choose which scripts to keep.

The Four Money Types

Most clients blend archetypes, but one usually dominates. Identify it to tailor the coaching approach.

The Avoider — deflects money conversations, doesn't know balances, defers decisions to a partner; rooted in anxiety. Coaching moves: Start small and concrete (log into one account, not a full plan). Celebrate engagement, not optimization. Automate heavily so the system works when they aren't looking.

The Optimizer — tracks every dollar, comparison-shops for hours, but often cannot spend on things that bring joy; optimizes the system at the expense of the life it serves. Coaching moves: Zoom out: "Your savings rate is 38% — what is that saving for?" Challenge them to spend more on their highest-value categories. Redirect optimization energy from cost-minimization to life-design, and from trivial questions to the big levers (below).

The Worrier — plays defense, sees threats everywhere; anxiety does not match objectively healthy finances. Coaching moves: Give data and structure: concrete projections under pessimistic/base/optimistic scenarios. Build generous margins of safety — not because the math requires it, but because it buys emotional permission to live. Name the feelings-vs-reality gap compassionately.

The Dreamer — magical thinking; big plans, no mechanism; often insulated by a partner or avoidance. Coaching moves: Don't crush the vision — connect it to a mechanism: "The restaurant in five years — what does it cost, what's the monthly saving, what's the first step this week?"

Spending as Values Expression

Identify the few categories where spending produces disproportionate joy (Sethi calls these "Money Dials"): ask "What do you spend on that makes you irrationally happy?" and "What do you spend on that you genuinely don't care about?" Then spend deliberately more on the first and cut mercilessly on the second. This replaces moralistic "good/bad spending" with a personalized values test: not "is this too much?" but "does this reflect what you actually value?"

Big Levers vs Trivial Questions

Most people obsess over trivial questions (cancel a $12 subscription?) while ignoring the decisions worth tens of thousands: asset allocation and fees, savings rate, debt sequencing, career and salary negotiation, insurance, tax-advantaged account order (employer match → Roth IRA → max 401k → HSA). When a client fixates on a small optimization, redirect to the unaddressed big levers — small optimizations are often avoidance of the hard, high-stakes questions.

Start at 85%, Then Iterate

A plan that is 85% optimal and actually implemented beats a perfect plan stalled in research. Four index funds are functionally identical; pick one and start. Automation and consistency beat precision.

The Four-Bucket Spending Plan

A values-aligned alternative to a restrictive budget (the word "budget" itself triggers scarcity for many clients):

  • Fixed costs: 50-60% of take-home
  • Investments: 10%+
  • Savings: 5-10%
  • Guilt-free spending: 20-35% — meant to be spent, because the important categories are already funded

The guilt-free bucket flips the emotional valence of discretionary spending and breaks the guilt → deprivation → binge cycle. This is deliberate, constructive mental accounting.

Automation as Behavioral Architecture

Remove willpower from the loop: paycheck → pre-tax retirement contribution → automatic transfers to IRA/savings/investments → auto-paid bills → remainder is guilt-free. Automation leverages status quo bias, cuts decision fatigue, and reduces money management to ~90 minutes a month.

Cognitive Biases in Financial Decisions
BiasTypical damagePrimary mitigations
Loss aversion (losses hurt ~2x gains; Kahneman & Tversky 1979)Disposition effect: sell winners early, hold losers hoping to break evenPre-commit exit criteria at purchase; rules-based rebalancing; "would I buy this today at this price?"; purchase price is a sunk cost
OverconfidenceOvertrading, concentration, underestimating tail riskTrack prediction hit rate; base rates (~10-15% of active pickers beat the index over 10 years); accept that average returns sustained are excellent
AnchoringFixating on purchase price or 52-week highValue on current fundamentals; multiple independent valuation methods
Recency biasPerformance chasing; panic selling; extrapolating trendsLong-term return distributions; 20%+ drawdowns recur every ~4-6 years — the price of admission, not an anomaly; DCA and systematic rebalancing
HerdingBuying euphoric tops, selling panicked bottomsPre-committed IPS with rebalancing bands; pause when the urge to follow the crowd is strongest
Mental accounting"House money" risk-taking; low-yield savings beside high-interest debtRecognize fungibility — but harness it deliberately (guilt-free bucket) when it enables good behavior
Status quo biasNever rebalancing; staying in high-fee fundsHarness via defaults: auto-enrollment (~50%→~90% participation), auto-escalation; "would I build this portfolio from scratch today?"
Confirmation biasReading only bullish research on holdingsSeek the strongest opposing argument; pre-mortem ("it's a year later and this failed — why?")
Framing effectsSame facts, different decisions ("90% survival" vs "10% mortality"; nominal vs real)Reframe every major decision multiple ways; present both gains and losses, percentages and dollars

Knowing about biases does not eliminate them — debiasing requires structural safeguards: written rules, automation, cooling-off periods (48-72 hours before any news-driven trade), and accountability.

Show full SKILL.md (946 more words)Show less
Coaching Couples Through Money Conversations

Money is a leading source of relationship conflict, usually because couples have never had a structured money conversation.

First conversation: 15-20 minutes maximum. Lead with feelings, not accusations ("I feel anxious when..." not "You always..."). Start with the shared vision, not the problems. Avoid trigger words: "budget," "you always/never," shame-loaded phrases.

Monthly Money Meeting agenda (keep to one hour):

  1. Open with appreciation — name something your partner did with money that you valued.
  2. Review the numbers together — income, expenses, goal progress. Keep it factual.
  3. Discuss vision progress — what moved forward? What's one thing to experience this month?
  4. End on something positive.

Couple-dynamic playbooks:

  • Avoider + Optimizer: The Optimizer manages everything and resents it; the Avoider feels controlled and disengages further. Play: give the Avoider full ownership of one bounded area (e.g., the vacation fund); structure conversations via the monthly meeting so the Avoider isn't ambushed; challenge the Optimizer's trivial-vs-big-lever balance.
  • Worrier + Dreamer: Catastrophe vs magic — they talk past each other. Play: make the Dreamer's vision concrete with numbers; show the Worrier the numbers support more freedom than they feel.
  • Both partners must engage. One "innocent" partner who touches nothing creates fragility and resentment.
Visioning Before Tactics

Before tactical work, have the client articulate a specific, vivid picture of the life money should enable (a "Rich Life" vision): fill-in-the-blank prompts ("a perfect ordinary Tuesday in 10 years looks like ______"), an inventory of what makes them irrationally happy, a designed perfect day, and a 10-year "what would I regret not doing?" list. Two rules: get specific (vagueness enables procrastination), and live part of the vision now while building toward the rest — this is not deferred gratification.

Worked Examples

Example 1: Disposition Effect — Holding a Loser

Given: Investor bought XYZ at $100; now $80 after two quarters of declining revenue, a lost major customer, and a new competitor. "I can't sell now — I'd be locking in a loss."

Approach: Name the bias (loss aversion → disposition effect; the $100 anchor). Reframe: purchase price is sunk — "If you held $80 in cash, would you buy XYZ today?" The original thesis is broken, so the rational action is to sell regardless of cost basis (tax-loss harvesting is a tangible consolation). Safeguard: write exit criteria at purchase time ("re-evaluate at -15% or two consecutive revenue misses").

Example 2: Recency Bias — Panic After a Drawdown

Given: After a 25% drawdown: "The market is broken. I'm going to cash."

Approach: Validate the emotion first. Provide context: 20%+ drawdowns recur every ~4-6 years and every prior bear market has been followed by recovery — volatility is the price of admission. Quantify the timing cost: selling now converts a paper loss into a need to time re-entry (two correct decisions instead of zero), and the best days cluster near the worst. Revisit the horizon ("retirement is 20 years away"). If they must act, offer a reasonable compromise — trim equity 5-10%, not 100%. Reasonable beats rational.

Example 3: The Couple Who Can't Spend

Given: Couple earning $280K, $1.2M invested, no debt, no vacation in four years: "We can't justify $8,000 on a trip when we could invest it."

Approach: Identify types (Optimizer with Worrier traits + disengaged partner). Surface the script ("What did your parents say about spending on vacations?") and test it against present reality. Run the numbers: $8,000 at 7% for 20 years is ~$31,000 — and their current savings rate already exceeds the retirement goal with margin, so the trip changes nothing material. Reconnect spending to values: if travel is a core category, spending there is the point of the system. Walk both partners through the visioning exercise — Optimizers often discover their vision includes the experiences they've been denying.

Example 4: Couples Conflict — Avoider + Optimizer

Given: One partner manages everything, tracks every expense, and resents the other "not caring about money." The other feels controlled and shut out; arguments are frequent and circular.

Approach: Name the dynamic without blame — neither approach is wrong, but together they spiral (manage more → disengage more → resent more). Reframe the goal: shared engagement at a level both can sustain, not converting the Avoider into an Optimizer. Install the Monthly Money Meeting to replace ad hoc ambushes. Give the Avoider one bounded area of full ownership. Redirect the Optimizer: "You track every coffee but haven't reviewed investment fees in two years — what if that energy went to the big levers?"

Common Pitfalls

  • Biases are easier to spot in others; self-awareness without structural safeguards changes little.
  • Contrarianism for its own sake is also a bias — it needs independent analysis behind it.
  • Assuming "irrational" is always bad: extra cash held for sleep-at-night comfort may be utility-maximizing. Reasonable > rational.
  • Patronizing tone when naming biases — the goal is to empower, not to win.
  • Jumping to tactics before surfacing scripts, money type, and vision — optimizing a system without knowing what it should produce.
  • Treating a couple as one financial entity: each partner has their own type, scripts, and risk relationship.
  • Letting trivial-question conversations crowd out the big levers.

Cross-References

  • statistics-fundamentals (core plugin): base rates, probability calibration, compounding math
  • time-value-of-money (core plugin): framing decisions in present value terms
  • historical-risk (wealth-management plugin): long-term drawdown context for recency-bias conversations
  • asset-allocation (wealth-management plugin): systematic rebalancing as a debiasing mechanism
  • diversification (wealth-management plugin): structural protection against overconfidence and concentration
  • tax-efficiency (wealth-management plugin): tax-loss harvesting as a consolation for loss aversion; account sequencing
  • performance-reporting (wealth-management plugin): framing effects in how returns are presented; nominal vs real

Key Sources

  • Kahneman, D. & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk.
  • Thaler, R. & Sunstein, C. (2008). Nudge.
  • Housel, M. (2020). The Psychology of Money.
  • Sethi, R. (2019). I Will Teach You to Be Rich; (2024) Money for Couples.

© JoelLewis, MIT. 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 plugins/wealth-management/skills/finance-psychology of JoelLewis/finance_skills.

Open the folder on GitHubat commit 5c498ea

Compare with similar skills

Finance Psychology 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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Theme Detectortradermonty/claude-trading-skills3k2 repos~4.9kAutomated safety check: PassMIT
Creating Financial ModelsChen-zexi/open-ptc-agent7293 repos~1.3kAutomated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT

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Questions about Finance Psychology

What does Finance Psychology do?

Recognize and mitigate cognitive biases that impair financial decisions, and coach clients toward values-driven financial lives. Finance Psychology is an agent skill from JoelLewis/finance_skills. Recognize and mitigate cognitive biases that impair financial decisions, and coach clients toward values-driven financial lives.

When should I use Finance Psychology?

Finance Psychology fits situations like: the user asks about behavioral finance; money psychology; emotional investing; users mention why do I panic sell.

How do I install Finance Psychology in Claude Code?

Run `npx skills add JoelLewis/finance_skills --skill finance-psychology -a claude-code`. Or copy the skill folder (plugins/wealth-management/skills/finance-psychology in JoelLewis/finance_skills) into .claude/skills/finance-psychology in your project. Claude Code loads it when a task matches its description.

How do I install Finance Psychology in Codex?

Run `npx skills add JoelLewis/finance_skills --skill finance-psychology -a codex`. Or copy the skill folder (plugins/wealth-management/skills/finance-psychology in JoelLewis/finance_skills) into .agents/skills/finance-psychology in your project. Codex loads it when a task matches its description.

Can I use Finance Psychology 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 JoelLewis/finance_skills --skill finance-psychology -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/finance-psychology, .gemini/skills/finance-psychology, .github/skills/finance-psychology and .opencode/skills/finance-psychology in your project.

What does Finance Psychology need to run?

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

Does Finance Psychology 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 Finance Psychology 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 Finance Psychology use?

Finance Psychology 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 Finance Psychology use?

About 4k tokens (SKILL.md is roughly 16k 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 Finance Psychology?

Skills that share tags, products or a category with Finance Psychology: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Finance Psychology?

JoelLewis (a GitHub user) maintains it in JoelLewis/finance_skills, which has 206 GitHub stars. The repository holds 91 skills in this directory. The repository was last updated on July 18, 2026.

Source: JoelLewis/finance_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.