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Research sources

Skill kostja94/marketing-skills/skills/strategies/launch/research-sources

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Install
npx -y skills add kostja94/marketing-skills --skill research-sources

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What its author says it does

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When the user wants to find information sources for content ideation, competitor monitoring, or industry tracking. Also use when the user mentions "research sources," "information sources," "content ideation," "industry monitoring," "competitor monitoring," "market intelligence," "content research," or "topic research." For keywords, use keyword-research.

SKILL.md

3.8 KB, 794 tokens by cl100k_base, as published. Nobody here has run it

Strategies: Research Sources

Guides selecting and organizing information sources for marketing research: content ideation, competitor monitoring, and industry tracking. Use this skill when planning where to gather signals for content, competitive intelligence, or market trends.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Use Cases

Use casePurpose
Content ideationTopic ideas, trends, gaps for blog, newsletter, social
Competitor monitoringProduct updates, positioning, pricing, reviews
Industry trackingMarket shifts, funding, layoffs, regulatory changes

Source Categories

CategoryFormatUse
NewsReal-time, dailyBreaking news, announcements
BlogsCompany, analystDeep dives, product updates
NewslettersCurated, weekly/dailyTrends, summaries; low effort
EventsConferences, webinarsIndustry pulse, networking
DataLayoffs, market cap, fundingQuantitative signals
CommunityForums, Q&AReal questions, pain points
ArchivesWayback, Internet ArchiveHistorical content, competitor changes

Selection criteria: Authority, freshness, coverage, language/locale. Prefer 10–15 high-quality sources over 50+ low-signal ones.

Example Sources (Generic)

CategoryExamples
NewsTechCrunch, VentureBeat, MIT Technology Review
BlogsGoogle AI Blog, OpenAI Blog, company blogs
NewslettersTLDR AI, Ben's Bites, The Batch (DeepLearning.AI)
DataLayoffs.fyi, Crunchbase, Companies Market Cap
ArchivesInternet Archive, Wayback Machine
CommunityReddit, Quora, Stack Overflow; regional (e.g. Qiita for Japan)

Note: Add locale-specific sources via localization-strategy; avoid long URL lists.

By Use Case

Use caseSource types
Content ideationNews, blogs, newsletters, community (Reddit, Quora, Stack Overflow)
Competitor monitoringCompetitor blogs, review sites, social, funding databases
Industry trackingNews, newsletters, events, layoff/funding data

Avoid: Long URL lists that go stale. Use category framework + a few examples; update periodically.

Integration with Skills

SkillHow research sources feed in
keyword-researchNewsletters, community for long-tail and question keywords
competitor-researchCompetitor blogs, review platforms, funding data
content-marketingNews, blogs for topic ideas; events for timely content
content-strategyIndustry trends for pillar/cluster planning

Output Format

  • Use case (ideation, competitor, industry)
  • Category selection (news, blogs, newsletters, etc.)
  • Source shortlist (5–15; name + purpose)
  • Cadence (daily scan, weekly digest, event calendar)

Related Skills

  • keyword-research: Keyword discovery; research sources inform topics
  • competitor-research: Competitor analysis; sources for monitoring
  • content-marketing: Content planning; sources for ideation
  • content-strategy: Topic clusters; industry signals for pillars

Gives 0 of the 12 instructions most research analysis skills give in 794 tokens

Counted across 1,063 of the 1,754 authors here whose files we hold, read 2026-08-06

  • generate a markdown reportin 32 of 1063, across 17 files
  • cite each claim's sourcein 31 of 1063, across 14 files
  • define the ideal customer profilein 20 of 1063, across 2 files
  • search for companies matching the criteriain 20 of 1063, across 2 files
  • assign a fit score from one to tenin 20 of 1063, across 2 files
  • format results in a scannable markdown templatein 20 of 1063, across 2 files
  • analyze the codebase to understand the productin 19 of 1063, across 1 file
  • ask clarifying questions about the value propositionin 19 of 1063, across 1 file
  • look for signals of immediate needin 19 of 1063, across 1 file
  • identify the target decision maker rolein 19 of 1063, across 1 file
  • suggest a personalized contact strategyin 19 of 1063, across 1 file
  • provide conversation starters for outreachin 19 of 1063, across 1 file

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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