crypto-market-rank
by binancecrypto-market-rank is a Binance Web3 skill for ranking trending tokens, top searches, Alpha assets, tokenized stocks, social hype, smart money inflows, meme tokens, and trader PnL. Use it for fast, structured market-signal snapshots and crypto-market-rank for Data Analysis.
This skill scores 71/100, which means it is listable and likely useful for directory users, but it is better as a cautious install than a strongly recommended one. The repository shows a real, non-placeholder skill with a clear market-ranking focus and multiple concrete ranking use cases, though the install decision is weakened by the absence of supporting scripts, references, and an install command, which limits how quickly an agent can verify execution details.
- Clear task fit for token ranking queries: the description explicitly covers trending tokens, top searched tokens, Binance Alpha, tokenized stocks, social hype, smart money inflows, meme rankings, and trader PnL leaderboards.
- Substantial skill content with structured sections and multiple headings, suggesting more than a demo stub and giving the agent workable entry points.
- No placeholder markers or experimental-only signals, and the frontmatter is valid, which improves trust that this is a real skill rather than a scaffold.
- No install command and no support files (scripts, references, resources, rules, assets, or metadata helpers), so agents may need more guesswork to operationalize the skill.
- The description is very short and the evidence shows limited explicit constraints/procedural guidance, which reduces progressive disclosure and makes edge-case behavior harder to predict.
Overview of crypto-market-rank skill
What crypto-market-rank does
crypto-market-rank is a Binance Web3 skill for pulling crypto rankings and leaderboards, including trending tokens, top searched assets, Binance Alpha tokens, tokenized stocks, social hype sentiment, smart money inflows, meme token rankings, and trader PnL lists. It is most useful when you need a fast, structured view of what the market is paying attention to, not a generic crypto explanation.
Who should use it
The crypto-market-rank skill fits analysts, traders, content teams, and agents that need market-signal snapshots for research, monitoring, or ranking-based discovery. It is especially relevant for crypto-market-rank for Data Analysis when you want ranked outputs that can be compared, filtered, or turned into watchlists.
What makes it different
Unlike a normal prompt that guesses at “hot” tokens, this skill is built around specific rank types and API-backed categories. That matters when you need repeatable results, clearer inputs, and less ambiguity about whether you are asking for trend, search, sentiment, alpha, meme, or trader-performance data.
How to Use crypto-market-rank skill
Install crypto-market-rank
Use the directory install flow for the skill, then verify the skill folder under skills/binance-web3/crypto-market-rank. The crypto-market-rank install step is mainly about making sure your agent has the skill available before you ask for rank data; if your workspace already loads skills automatically, confirm the path rather than assuming it is active.
Start with the right source file
Read SKILL.md first. Because this repository has no extra scripts/, references/, resources/, or rules/ folders, the skill body is the main source of truth. For this crypto-market-rank guide, the most important details are the use cases, supported rank categories, and the parameter patterns shown in the examples.
Turn a rough goal into a usable prompt
The skill works best when you specify the ranking type, scope, and output format. A weak request like “show me crypto trends” is vague; a stronger request is “use crypto-market-rank to return the top 20 trending tokens, sorted by rank, and summarize which categories look most active today.” For crypto-market-rank usage, include the asset group, time window if relevant, and whether you want a shortlist, table, or commentary.
Practical workflow for better results
First decide which signal you need: social hype, trending, search, Alpha, tokenized stocks, smart money inflow, meme rank, or trader PnL. Then ask for one category at a time so the output stays comparable. If you are building an internal dashboard or report, ask for structured fields first and narrative insight second; that keeps the data cleaner and easier to reuse.
crypto-market-rank skill FAQ
Is this skill only for traders?
No. The crypto-market-rank skill is also useful for researchers, market-news writers, community managers, and agents that need ranked token discovery. If your job involves choosing what to watch, summarize, or compare, it can help.
When should I not use it?
Do not use it when you need deep fundamentals, on-chain forensic analysis, or long-form investment advice. crypto-market-rank is strongest for leaderboard-style signals and fast market screening, not for explaining why a token is undervalued or predicting price with certainty.
Do I need a custom prompt instead of a skill?
A generic prompt can ask for “trending tokens,” but it usually leaves too much room for interpretation. crypto-market-rank install gives you a repeatable skill pattern, which is better when you want the same ranking logic used across multiple requests or agents.
Is it beginner-friendly?
Yes, if you start with one ranking type and avoid mixing multiple goals in the same request. The easiest entry point is social hype or trending tokens; more advanced workflows combine multiple rank types only after you understand the output shape.
How to Improve crypto-market-rank skill
Give the skill a narrower target
The biggest quality gain comes from narrowing the request. Instead of asking for “the best tokens,” ask for “top searched tokens among Binance Alpha assets” or “smart money inflow rank for meme tokens.” This makes crypto-market-rank return a cleaner, more decision-ready set.
Specify the decision you want to make
Tell the skill whether you are screening, comparing, reporting, or monitoring. For example: “use crypto-market-rank to identify 10 tokens for a daily watchlist,” or “summarize which rank category changed most since the last check.” That context improves relevance more than adding extra adjectives.
Watch for common failure modes
The main failure mode is mixing incompatible ranking goals in one prompt, such as social hype plus trader PnL plus meme breakout analysis. Another issue is omitting the asset universe, which can produce broad results that are hard to act on. If needed, split the task into separate passes and compare the outputs side by side.
Iterate with better inputs
If the first output is too broad, refine by rank type, limit, and sorting preference. If you need crypto-market-rank usage for reporting, ask for columns like token name, rank type, and short rationale, then request a second pass with a concise summary. This is the fastest way to turn the skill from a list generator into a useful analysis tool.