fudesign2008/open-skills

xquik-social-data

Use when 用户需要从 Xquik 获取?

First seen Jun 27, 2026

Installation

$ npx skills add fudesign2008/open-skills --skill xquik-social-data

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 6
License LICENSE
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,426 B
  • docs SUMMARY.md 266 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 42 installs

SKILL.md

Xquik Social Data

Use this skill when a task needs current public X/Twitter evidence through Xquik. Keep the work evidence-first: fetch small, relevant samples, cite post IDs or URLs, and separate direct observations from interpretation.

When To Use

  • Search public posts for a topic, brand, account, incident, product, or campaign.
  • Look up public X/Twitter accounts or posts before writing a summary.
  • Compare public conversation themes, sentiment, repeated questions, or complaints.
  • Build a traceable evidence set for social listening, OSINT, marketing research, or support triage.
  • Check trends or public activity before drafting a post or recommendation.

Do not use this skill for private messages, login-gated content, credential sharing, platform bypassing, or claims that need complete official analytics.

Setup

  • API base: https://xquik.com/api/v1
  • Docs: https://docs.xquik.com
  • Authentication: send the user's Xquik API key as x-api-key.

Never print or store API keys. If no API key is available, provide the exact request shape and ask the user to run it in their approved environment.

Workflow

  1. Clarify scope.

- Topic, account, date range, language, geography, and desired output. - If the user gives a broad topic, create 3 to 8 short search queries.

  1. Fetch public evidence.

- Search posts with GET /x/tweets/search?q=<query>. - Use account or post endpoints only when they directly support the task. - Keep request batches small and deduplicate by post ID.

  1. Normalize findings.

- Preserve id, text, createdAt, author username, engagement fields, and URL. - Label missing counts as missing, not zero, unless the API response explicitly says zero. - Keep every conclusion tied to at least one post ID, URL, or account handle.

  1. Analyze cautiously.

- Group repeated themes. - Mark sentiment as an interpretation unless the user provided labeled data. - Call out sample size, query bias, language bias, and time-window limits.

  1. Return a concise report.

- Scope and queries. - Evidence count and deduped count. - Top themes with cited examples. - Risks, unknowns, and recommended next searches.

Request Examples

curl "https://xquik.com/api/v1/x/tweets/search?q=launch%20feedback" \
  -H "x-api-key: $XQUIK_API_KEY"
curl "https://xquik.com/api/v1/x/users/search?q=xquik" \
  -H "x-api-key: $XQUIK_API_KEY"

Output Template

## Scope
- Goal:
- Queries:
- Time window:

## Evidence
- Raw results:
- Deduped results:
- Notable examples:

## Findings
1. Theme:
   Evidence:
   Confidence:

## Limits
- Sample size:
- Query bias:
- Missing data:

## Next Searches
1.
2.

Quality Rules

  • Do not fabricate posts, counts, links, trends, or account details.
  • Do not infer demographics or intent from a single post.
  • Do not expose secrets, raw credentials, or private implementation details.
  • Do not claim complete coverage of X/Twitter. Say "sample" unless the user provided a complete export.
  • Prefer exact IDs and URLs over vague summaries.