linkedin-studio/config/trends-sources.template.md
Kjell Tore Guttormsen b89868e3b1 feat(linkedin-studio): research-engine config layer — sources + scoring modes + MCP profile (§5 slice 2a) [skip-docs]
Declaration/config groundwork that slice 2b's trend-spotter upgrade reads.
Standalone (no agent wiring yet — that's 2b), mirroring slice 1's pattern;
[skip-docs] for the same reason slice 1 was — user-facing docs land when 2b
wires the engine live.

- references/trend-scoring-modes.md: methodology SSOT for two rubrics —
  kortform (feed post, timing 20%) + long-form (chronicle, depth 25% / timing 10%,
  per tema-research-motor-spec §4.2). Both sum to 100%. trend-spotter renders from
  this in 2b instead of inlining a matrix (S12-consistent).
- config/trends-sources.template.md: shipped generic source-list defaults →
  user override at ${LINKEDIN_STUDIO_DATA}/trends/sources.md (data-dir, survives
  reinstall; same template->data-dir pattern as user-profile).
- user-profile.template.md: new "Research Tooling" section — declared research MCPs
  (Tavily/Gemini/Perplexity/Other) + WebSearch/WebFetch floor. 2b routes MCP-first.
- setup.md Step 3f + onboarding.md Phase 2: ask "which research MCPs?" -> profile.
  Store only what the user declares; no hard-coded MCP names.
- test-runner.sh: EXPECT_REFS 26->27; generalized the M0 +1 delta-guard into a
  named-post-M0-additions guard (POSTM0_REFS) so a legit later ref doc passes while
  the anti-masking intent holds. Gate green 84/0/0.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RBMKqPSVbvSZHtQ4heM1UY
2026-06-22 13:36:28 +02:00

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Trend Sources (template)

The source list a research-engine pass polls for trend/topic candidates. This file ships generic, niche-agnostic defaults (source categories, not one person's beat). Override it with your own list — the niche specifics (your vendors, your regulators, your country's outlets) belong in the override, never here.

How the override works

Copy this template into your per-user data dir and edit the copy:

mkdir -p "${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/trends"
cp config/trends-sources.template.md \
   "${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/trends/sources.md"

A pass reads ${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/trends/sources.md if it exists, and falls back to these shipped defaults otherwise. The override lives in the data dir (next to the trend store trends/trends.json), so it survives plugin upgrades and reinstalls. LINKEDIN_STUDIO_DATA overrides the root.

Format below is read by a person and an agent both: a markdown list, one source per line, grouped by tier. Keep Name — URL — note so a poll can cite the URL.


Tier 1 — Primary / breaking (poll daily, react within 2448h)

First-party announcements and authoritative decisions in your field.

  • [Major vendor blog] — [url] — releases & announcements
  • [Major vendor blog] — [url] — releases & announcements
  • [Regulator / governing body] — [url] — decisions & guidance

Tier 2 — Analysis & research (poll 23×/week, post within a week)

Where a development gets interpreted, not just reported.

  • [Respected analysis publication] — [url]
  • [Analyst house report stream] — [url] — adoption / market reports
  • [Research index] — [url] — preprints / papers in your area

Tier 3 — Community signals (poll weekly, post if a pattern emerges)

Where practitioners surface what actually matters before the press does.

  • [Practitioner forum / aggregator] — [url]
  • [Topic-specific community] — [url]
  • [Platform-native trending] — [url]

Tier 4 — Niche & seasonal (poll monthly, plan ahead)

Slower-moving sources with predictable cadence.

  • [Key conference series] — [url] — announcement / agenda cycles
  • [Earnings / report calendar] — [url] — scheduled releases
  • Seasonal themes: [Q1 …] · [Q2 …] · [Q3 …] · [Q4 …]

Your niche additions

Add the sources specific to your field below — these are the ones the generic defaults above cannot know. (Example shape for a Norwegian public-sector / AI niche: national digitalisation agency, data-protection authority, the relevant ministries, the local tech press — replace with yours.)

  • [Your source] — [url] — [why it matters to your audience]
  • [Your source] — [url] — [why it matters to your audience]

Tip: the 8 universal angles and the scoring rubric in trend-scoring-modes.md decide what to DO with a candidate once a poll surfaces it. This file only decides WHERE to look.