Conciseness

Every line carries connector-specific knowledge Claude cannot know elsewhere: the condition grammar, the metric table with default periods and units, argument limits ('universe 5-100', 'limit ≤ 50'), output field names ('edgePct', 'baselineAvgReturnPct', 'recent[]'), and semantics like 'An occurrence is the FIRST bar of each run'. There is no padding, no explanation of concepts Claude already knows (RSI, EMA, Bollinger bands are referenced, never taught), and no filler — every token earns its place.

Actionability

Guidance is directly executable: exact argument names and defaults for both tools, a literal intent-to-condition translation list ('oversold' → `rsi lt 30`, 'golden cross' → `emaSpread crossAbove 0 period 50 period2 200` on 1d), default horizon arrays per timeframe, and ready-made presentation table headers. Per the rubric's code-vs-instruction note, this instruction-only skill's guidance is fully actionable with concrete specifics covering the common cases.

Workflow Clarity

Each named workflow ('What's oversold right now?', 'Screen, then dig in', 'Find me setups', 'Is X actually bullish?', 'Compare A, B, C') is a clear sequence with explicit decision checkpoints: ask the archetype in one line before scanning, 'When matched > returned, say so and offer to raise limit', 'if the user names no coin, BTC on 1d is the most meaningful default and say why', and 'never one call per coin'. The honest-reading rules ('Never quote the edge alone', 'report the shape, do not pick the flattering horizon') act as validation checkpoints against misleading output.

Progressive Disclosure

The body is a well-sectioned overview (vocabulary, screening, backtesting, workflows, presenting, conduct) and offloads the full recipe list to a single, clearly signaled, one-level-deep reference: 'the full recipe list is in `references/condition-cookbook.md`'. That file exists and delivers exactly what is promised — ready-made conditions arrays organized by intent — with no further nesting. The split is appropriate: inline translation for the seven most common intents, the cookbook for the comprehensive set.

Specificity

The description lists multiple concrete actions — 'Scan the whole crypto futures market in one call', 'test what a setup did historically', 'side-by-side comparison tables', 'event studies' — and grounds each in the tool that performs it ('using TraderSpy's screener and backtest'). Coverage spans screening, comparison, and backtesting use cases with concrete example queries, matching the anchor for comprehensive specific actions.

Completeness

Both questions are answered explicitly: the 'what' opens with two concrete capabilities plus example queries, and the 'when' is stated as 'Use this whenever the user wants to find, filter, rank or compare several coins by technical conditions, or asks what happened after a condition in the past'. This mirrors the anchor example that clearly and explicitly answers both what and when with concrete trigger phrases.

Trigger Term Quality

It quotes the exact natural phrases users would say, with synonyms and variations: 'Which coins are oversold on the 4h', 'what is above its 200 EMA with rising volume', 'show me Bollinger squeezes', 'biggest losers today with RSI under 30', 'find me setups / a watchlist', 'compare BTC, ETH and SOL', 'how did ETH do after RSI dropped below 30'. This is comprehensive coverage of natural trigger terms including technical synonyms (golden cross, RSI, EMA, Bollinger).

Distinctiveness Conflict Risk

The niche is narrow (multi-coin crypto technical screening and historical condition backtesting on one connector) and it explicitly manages the boundary with the sibling skill: 'Never answer these by calling get_technical_indicators coin by coin. For a deep read of ONE coin use technical-analysis.' Clear niche with distinct triggers and minimal conflict risk.