Agent skill

Traderspy Technical Analysis

by sickn33 in sickn33/agentic-awesome-skills

Read one crypto futures pair with TraderSpy: 19 indicators on up to 3 timeframes in one call, key levels, funding, open interest and positioning.

MITAuto-check passedMarketing & SEO

Install Traderspy Technical Analysis

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill traderspy-technical-analysis -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills traderspy-technical-analysis --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/traderspy-technical-analysis .claude/skills/traderspy-technical-analysis && 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
traderspy-technical-analysis
GitHub stars
47k
Used in
1 other repo
Token cost
~2.6k tokens
SKILL.md length
1,300 words
Files
3 (incl. references)
Skills in repo
1,394
Repo updated
First seen
Licence
MIT

At a glance

Read one crypto futures pair with TraderSpy: 19 indicators on up to 3 timeframes in one call, key levels, funding, open interest and positioning.

  • Works in 7 steps: Price line — symbol, price, time of the… → Per timeframe, one line each — bias,… → Confluence — aligned or not, and what… → …
  • Is SOL oversold
  • SKILL.md covers When to Use, Tools, Making the call count and Reading the response, plus 5 more sections
  • Reaches mcp.traderspy.app

What it does

Traderspy Technical Analysis is an agent skill from sickn33/agentic-awesome-skills. Read one crypto futures pair with TraderSpy: 19 indicators on up to 3 timeframes in one call, key levels, funding, open interest and positioning. Use for "analyse BTC" or "is SOL oversold".

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/derivatives-guide.md` and `references/indicator-guide.md`).

It sits in Marketing & SEO, covering Positioning and messaging. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Is SOL oversold
  • Tasks that involve Positioning and messaging

Example prompts

  • “analyse BTC”
  • “is SOL oversold”
  • “/traderspy-technical-analysis”

Workflow steps

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

  1. Price line — symbol, price, time of the read, 24h change if you fetched it.
  2. Per timeframe, one line each — bias, trend (EMA stack and ADX), momentum (RSI zone, MACD
  3. Confluence — aligned or not, and what the disagreement means.
  4. Levels table — nearest support and resistance with distance %, the pivot, the nearest
  5. Derivatives line (if fetched) — funding label + annualized, OI regime, top-trader long %.
  6. What would change the read — the one or two levels or readings that flip the picture
  7. One plain sentence: crypto derivatives are high-risk; this is market information, not advice.

What it can do on your machine

Read from SKILL.md and the folder at commit 1e53ce2. 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

    Hosts in commands or code, which the agent is likely to contact:

    • mcp.traderspy.app

    Also links to:

    • traderspy.app

    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

Traderspy Technical Analysis loads about 2.6k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 55 tokens; SKILL.md has 1,300 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.7k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 1,300 words, ~2,552 tokens.

Download SKILL.mdSave it as .claude/skills/traderspy-technical-analysis/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
traderspy-technical-analysis
description
Read one crypto futures pair with TraderSpy: 19 indicators on up to 3 timeframes in one call, key levels, funding, open interest and positioning. Use for "analyse BTC" or "is SOL oversold".
category
finance
risk
safe
source
https://github.com/target1m/traderspy-mcp/tree/069aae5a84640d671f92705a2e3bc0b62efca1e0/skills/technical-analysis
source_repo
target1m/traderspy-mcp
source_type
official
date_added
2026-09-25
author
target1m
tags
traderspy, crypto, technical-analysis, indicators, mcp
tools
claude, cursor, gemini
license
MIT

TraderSpy Technical Analysis

One good read of a chart is three things in order: where price is in its structure (trend and levels), what momentum and volatility are doing, and how the derivatives market is positioned around it. TraderSpy gives all three in at most two calls. Spend the calls well — the user's quota is finite — and quote the numbers, not adjectives.

When to Use

  • Use when the user asks about a coin's chart, trend, momentum, support and resistance, or where a level such as the 200 EMA sits.
  • Use for "analyse BTC", "how does SOL look", "is X overbought / oversold", "what do the indicators say" or "is this a good entry", even when the user only names a coin.
  • Use when the question is whether funding is high or open interest is building, or when the user wants price or candle data.
  • For scanning many coins by conditions use @traderspy-market-screener; for whale positions use @traderspy-smart-money.

Tools

ToolUse it forKey arguments
get_technical_indicatorsThe chart readsymbol, intervals (≤ 3) or interval, indicators (≤ 19), periods, history 0–20
get_derivativesFunding, open interest, positioningsymbols (≤ 5 Binance USDⓈ-M perps; bare BTC is fine)
get_priceLive price, 24h high/low/volume/changesymbols (≤ 20)
get_candlesRaw OHLCVsymbol, interval 1m/5m/15m/1h/4h/1d, limit ≤ 500
get_tracked_symbolsCoverage checknone — only when a symbol returns no data

Symbols are Binance Futures names: BTCUSDT, SOLUSDT, 1000PEPEUSDT (1000x-prefixed small caps), and tokenized equities/ETFs such as AAPLUSDT or SPYUSDT. Append USDT to a bare coin. Hyperliquid-only perps (e.g. HYPE) are tracked under the same naming.

Making the call count

  • Multi-timeframe is one quota unit. For any "how does X look" question pass intervals: ["1h","4h","1d"] (or ["15m","1h","4h"] for an intraday user) and get a confluence verdict — never three separate calls.
  • Pick indicators for the question. Default rsi, macd, ema, bollinger covers momentum and trend. Add levels + pivots whenever the user cares about entries, targets or "where is support"; atr for stop distance and volatility; adx for trend strength; supertrend for a clean trend state; obv / mfi when volume confirmation matters; ichimoku / keltner only when asked. Eight to ten well-chosen indicators is a full read; all 19 is noise.
  • periods lets you honour the user's settings ({"ema":[9,21,55,200],"rsi":7}); an unknown key is rejected, so use the documented names only.
  • Add get_derivatives when the question involves "why is it moving", crowding, funding, open interest, leverage, liquidations, or when the user is about to lean on a directional call — candles cannot see positioning.
  • get_candles is for when the user wants the data itself (to chart, export or compute something custom). Do not fetch candles to eyeball indicators the technicals tool already computes.

Reading the response

Shape. One timeframe → top-level indicators + summary. Several → timeframes[] (each with interval, price, candles, indicators, summary) plus confluence { aligned, bias, byInterval }; the top-level interval/price then name the first timeframe only. settings echoes what was computed; warnings[] lists anything that was thinned or missing.

Every indicator carries value, previous, direction (rising / falling / flat) and a short series (oldest → newest), plus its own fields — zone on RSI/Stochastic/CCI/MFI/Williams, crossover on MACD/Stochastic, stack/pricePosition on EMA, ±DI and strength on ADX, trend/flipped/barsSinceFlip on SuperTrend, divergence on RSI/MACD/OBV. { value: null, reason: "insufficient_data" } means the tape is too short for that period — say so, do not substitute.

summary is the spine of the read. bias (bullish / bearish / neutral) is computed from a FIXED set (RSI 14, MACD, EMA 20/50/200, ADX 14, ATR 14, BB 20/2, volume 20) regardless of what you requested, so it is comparable between calls; score is its internal vote (|score| ≥ 30 sets a bias). trend (direction, strength, emaStack, priceVsEma200), momentum (rsiZone, macdState), volatility (atrPct, atrPercentile 0–100, squeeze, state), volume.ratioVsAverage, patterns[] (candlestick finders on the last two bars) and notes[] — plain-language sentences written to be quoted. Build the answer from the notes, then add the numbers.

levels (nearest three per side from swing highs/lows over 300 bars): price, touches, distancePct; range.positionPct (0 = at the low of the lookback, 100 = at the high); fibonacci (the dominant leg with retracedPct and the nearest level above/below); volumeProfile (poc, value area, pricePosition). pivots are classic floor pivots from the previous DAILY candle whatever the timeframe. Together they give you a levels table; distance in % is what a user can act on.

confluence.aligned is true only when every timeframe with data agrees on a non-neutral bias. "Aligned bearish on 1h/4h/1d" is a strong statement; "4h bullish, 1d neutral" is a pullback question. Say which.

Derivatives (get_derivatives): funding.label — extreme_longs_paying / longs_paying / neutral / shorts_paying / extreme_shorts_paying (longs pay at ≥ +0.03% per 8h, extreme at ≥ +0.10%; shorts pay at ≤ −0.01%, extreme at ≤ −0.05%; Binance's baseline is +0.01%; quote annualizedPct); openInterest.regime — new_longs / short_covering / new_shorts / long_liquidation / flat (needs ≥ 1% OI and ≥ 0.5% price change over 24h); positioning.label — long_heavy (long/short ratio ≥ 1.5, i.e. ≥ 60% long) / balanced / short_heavy (≤ 0.67, i.e. ≤ 40% long), read from the top-trader POSITION ratio first; takerBuySellRatio is the last hour's aggressor flow. Data is at most 60 s old. notes[] are quotable. Details in references/derivatives-guide.md.

Show full SKILL.md (483 more words)Show less

Presenting

For a single-coin read ALWAYS use this order, and keep it to what the user asked:

  1. Price line — symbol, price, time of the read, 24h change if you fetched it.
  2. Per timeframe, one line each — bias, trend (EMA stack and ADX), momentum (RSI zone, MACD state), volatility (ATR %, squeeze), with the key number after each label.
  3. Confluence — aligned or not, and what the disagreement means.
  4. Levels table — nearest support and resistance with distance %, the pivot, the nearest Fibonacci level, the value-area edge if price is near it.
  5. Derivatives line (if fetched) — funding label + annualized, OI regime, top-trader long %.
  6. What would change the read — the one or two levels or readings that flip the picture (e.g. "a 4h close above 79,325 resistance with OI rising would turn the 4h bias bullish").
  7. One plain sentence: crypto derivatives are high-risk; this is market information, not advice.

Use RSI(14) 41.3 — neutral, falling style labelling so the period and the direction are always visible. Percentages to one decimal; prices to the precision the tool returned.

Conduct

  • Describe the chart; do not prescribe the trade. If the user asks "is this a good entry", answer with what supports the entry, what argues against it, where the invalidation sits, and hand the decision back. Never tell the user to buy, sell, size or leverage.
  • Indicators describe the past bars they were computed on; do not present a bias as a forecast or imply any outcome is assured.
  • Nothing in this connector trades — no order, close, transfer or withdrawal tool exists, by design. If asked to execute, say so plainly; the decision and the trade stay with the user.
  • Quote only what the tools returned. If an indicator is insufficient_data or a symbol is not tracked, say so instead of estimating.
  • When the answer is about a specific trade idea, end with one plain sentence that crypto derivatives are high-risk and this is market information, not financial advice — once per answer.

Per-indicator fields and conventional readings: references/indicator-guide.md.

Examples

text
Analyse BTC on the 1h, 4h and 1d with funding and open interest.
Is SOL overbought? Where are the nearest support and resistance levels?
Where is the 200 EMA on ETH, and is funding stretched?

Limitations

  • Needs the hosted TraderSpy MCP server connected in the client (https://mcp.traderspy.app/mcp, Streamable HTTP), authorized with OAuth or a personal key from https://traderspy.app/mcp. A free TraderSpy account is enough. Without the server the skill has no data to work from.
  • Tool calls are metered per day: 300 on the free tier, 5,000 on premium.
  • Every tool is read-only. Nothing here places, closes or modifies an order, and there is no withdrawal or transfer tool.
  • The output is market data and analysis for the user's own research, not investment advice.
  • A multi-timeframe read is one tool call; adding derivatives makes it two.
  • Symbols use Binance Futures naming (BTCUSDT, 1000PEPEUSDT). get_derivatives covers Binance USDⓈ-M perpetuals, up to five per call.
  • @traderspy-market-screener - many coins at once, and backtests of a condition
  • @traderspy-smart-money - what tracked top traders hold
  • @traderspy-position-check - the same read applied to an open position

© sickn33, MIT. 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 skills/traderspy-technical-analysis of sickn33/agentic-awesome-skills.

  • SKILL.md
  • references/derivatives-guide.md
  • references/indicator-guide.md

Open the folder on GitHubat commit 1e53ce2

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Categories

Questions about Traderspy Technical Analysis

What does Traderspy Technical Analysis do?

Read one crypto futures pair with TraderSpy: 19 indicators on up to 3 timeframes in one call, key levels, funding, open interest and positioning. Traderspy Technical Analysis is an agent skill from sickn33/agentic-awesome-skills. Read one crypto futures pair with TraderSpy: 19 indicators on up to 3 timeframes in one call, key levels, funding, open interest and positioning.

When should I use Traderspy Technical Analysis?

Traderspy Technical Analysis fits situations like: is SOL oversold; tasks that involve Positioning and messaging.

How do I install Traderspy Technical Analysis in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill traderspy-technical-analysis -a claude-code`. Or copy the skill folder (skills/traderspy-technical-analysis in sickn33/agentic-awesome-skills) into .claude/skills/traderspy-technical-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Traderspy Technical Analysis in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill traderspy-technical-analysis -a codex`. Or copy the skill folder (skills/traderspy-technical-analysis in sickn33/agentic-awesome-skills) into .agents/skills/traderspy-technical-analysis in your project. Codex loads it when a task matches its description.

Can I use Traderspy Technical Analysis 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 sickn33/agentic-awesome-skills --skill traderspy-technical-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/traderspy-technical-analysis, .gemini/skills/traderspy-technical-analysis, .github/skills/traderspy-technical-analysis and .opencode/skills/traderspy-technical-analysis in your project.

What does Traderspy Technical Analysis need to run?

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

Does Traderspy Technical Analysis access the network?

SKILL.md names 2 domains. In commands or code: mcp.traderspy.app; the agent is likely to contact it when it follows the instructions. As links in the text: traderspy.app. This is read from the text; nothing was executed.

Is Traderspy Technical Analysis 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 Traderspy Technical Analysis use?

Traderspy Technical Analysis is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Traderspy Technical Analysis use?

About 2.6k tokens (SKILL.md is roughly 10k 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 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Traderspy Technical Analysis?

Skills that share tags, products or a category with Traderspy Technical Analysis: Marketing Os (Yuzzyuk/marketing-os, 535 stars), Revenue Centric Design (heliocosta-dev/revenue-centric-design, 740 stars), Startup Positioning (ferdinandobons/startup-skill, 1.2k stars) and Stanley Druckenmiller Investment (tradermonty/claude-trading-skills, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Traderspy Technical Analysis?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.