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Keyword opportunities

Skill ASOScan/aso-skills/skills/keyword-opportunities

ASO Agent Skills for Claude, Cursor, and any Agent-Skills-compatible AI assistant - App Store Optimization powered by the ASOScan API. 9 skills incl. two that work with no API key. MIT.

Install
npx -y skills add ASOScan/aso-skills --skill keyword-opportunities

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What its author says it does

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When the user wants the best untapped keywords for an app tracked in ASOScan — gap-scored suggestions ranked by opportunity score, each showing which competitors already rank for the term. Also use when the user mentions "what keywords should I target", "find keyword opportunities", "what am I missing", "keyword gaps vs my competitors", or "suggest keywords to add". Can also start tracking the chosen terms. For validating a specific term's volume/difficulty, see keyword-intelligence.

SKILL.md

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Keyword Opportunities

Answer "what should I target next?" with ASOScan's pre-computed, opportunity-scored suggestions — drawn from your metadata, competitors, AI, the category index, and search data — then track the winners, all from real numbers.

When to use

  • "What keywords should I add / target?"
  • "Where are my keyword gaps vs competitors?"
  • "Suggest high-opportunity keywords for my app."

Calling the ASOScan API

Base https://asoscan.com/api/public/v1 · header Authorization: Bearer $ASOSCAN_API_KEY. JSON, camelCase. If the key is unset, hand off to asoscan-setup.

  1. Find the app — GET /apps → use the id.
  2. Opportunities — GET /apps/{id}/opportunities?country=&limit=50 (2 credits, limit 1–200). Each row: { term, volume, difficulty, opportunityScore, competitorRanks[]{ name, rank, isYou } }. There is no "source" field — rank by opportunityScore and read competitorRanks for context (the entry with isYou: true is the owner; rank: null there = you don't rank yet).
  3. (Optional) validate a shortlisted term — the research call in keyword-intelligence (8 credits), for a few finalists only.
  4. (Optional) track the picks — POST /apps/{id}/keywords with { "terms": [...], "country": "US" } (2 credits, needs a write key; up to 500 terms) → { added[], skipped[]{ term, reason } }.

How to prioritize

Sort by opportunityScore, then sanity-check each candidate:

  1. Relevant? Would a searcher for this term actually want this app? Drop off-topic high-volume terms — irrelevant installs churn.
  2. Winnable? Is difficulty realistic for this app's authority?
  3. A real gap? In competitorRanks, isYou has a null/poor rank while rivals rank well → the sharpest opportunity.

Group into Quick wins (high score, low difficulty, relevant, you don't rank) and Watchlist (promising but harder / needs validation).

Output template

### Keyword opportunities — {App} ({country})   ·  credits left: {remaining}

**Quick wins** (track these)
| Keyword | Volume | Difficulty | Score | You rank? | Rivals ranking |
|---|---|---|---|---|---|
| … | … | … | … | no | Rival A #4, Rival B #9 |

**Watchlist**
| Keyword | Volume | Difficulty | Score | Note |
|---|---|---|---|---|

**Next in ASOScan:** track the quick wins → POST /apps/{id}/keywords (write key),
then place them with `metadata-audit`.

If the user approves tracking, call the write endpoint and report added/skipped.

Errors, credits & honesty

  • 401 → asoscan-setup · 403 = no API access or a read-only key on the write call (tell them to create a read + write key) · 402 out of credits · 429 back off · 503 not enabled yet. Opportunities = 2 credits, tracking = 2.
  • Present numbers cleanly; never track terms without asking; don't overpromise ranks.
  • Full reference: https://asoscan.com/api/developers

Related

  • keyword-intelligence — validate a shortlisted term.
  • competitor-analysis — see which competitors drive the gap.
  • metadata-audit — place the chosen keywords into the listing.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.