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7 commits

Author SHA1 Message Date
e75cd42bed feat(linkedin-studio): de-niche rest-sweep — vary KTG-beat examples across surfaces (B-S2b) [skip-docs]
The last de-niche slice: recast the 10 sites where the vendor/sector beat
(Microsoft|Azure|Copilot|public sector) sat as the PRIVILEGED/default example,
varying each to a concrete cross-domain example instead of sterilizing
(plugin-is-domain-general — domain comes from user config, never hardcoded).

Recast (10): url-processing-templates (news worked-example Copilot->Figma),
opportunity-generation (3 headline examples + About block -> varied/ops persona),
profile (3 "good example" headlines/impact -> healthcare/e-commerce/support),
first-comment-strategy (drop "Microsoft" from research-paper example),
poll-strategy-guide (Copilot option -> generic AI assistants),
engagement-frameworks (1 of 3 direct-address audiences -> RevOps/SaaS),
setup (audience e.g. -> two varied examples), post (invocation e.g. -> SaaS pricing),
network-builder (tagline example -> ops/manufacturing),
video-scripter (2 filename slugs -> neutral topics).

Kept as false positives (would sterilize): content-angles.md (Public Sector is
1 of 6 balanced industry tables + Industry-Agnostic section), outreach.md
(Microsoft Build/Ignite/Azure UG = 3 of ~20 varied real conferences),
linkedin-growth-playbook (biographical fact in a real case study), the
Gemini/Tavily/Perplexity MCP tool-name examples, and the algorithm-signals
"Gemini provenance" SSOT citation. AI-as-topic kept (not a niche token; the
de-AI/AI-slop mechanic is the plugin's legit subject).

Gate scripts/test-runner.sh 87/0/0 (no lint touches these files yet; §17-guard
extension to content-planner is the deferred next step). 10 files, 26/26.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RBMKqPSVbvSZHtQ4heM1UY
2026-06-23 10:50:28 +02:00
10e10897ca fix(linkedin-studio): S23 harden profile — re-source profile-as-validated-object overclaim to SSOT, soften SEO claims
Profile is a self-contained, prose-heavy Grow-tier audit command (no agent, no
routing, no state). Grant-hygiene was already clean (Read + AskUserQuestion, both
used, no orphans/missing). The one real axis was b': the file repeatedly framed
the relevance model as reading and VALIDATING your profile and gating distribution
on it — contradicting the SSOT (algorithm-signals-reference.md), which confirms
only topic/interest relevance as a ranking input (content matched to a viewer's
interests, incl. beyond your network) with no off-topic magnitude figure and no
weighted profile criteria. The file was internally inconsistent — its own soft,
SSOT-true framing already sat at :17/:25/:27.

12 edits, commands/profile.md only:
- desc :5: drop "validates your profile BEFORE distributing content".
- :31 + table: drop "the model evaluates five criteria (see SSOT)" false
  attribution + HIGH/MEDIUM "Impact if Missing" postulated weights -> "LinkedIn
  does not publish a profile-scoring breakdown ... practitioner heuristics",
  column -> "Priority (heuristic)".
- :99/:161/:173/:230: reframe "first signal telling ... qualified" / "relevance
  validation" / "checks if you're connected" / "if LinkedIn's AI read my profile,
  would it believe" away from the profile-read-by-model mechanic.
- :25/:27/:51/:67: conflation fix — "your demonstrated expertise" / "tell the
  relevance model what you're expert in" -> "a viewer's interests" / "topic-
  relevance distribution" (SSOT wording) + no-percentage honesty.
- :24 (B2): "Goes to 10% of audience" -> "a slice of your network".
- :52/:61 (P3): "highest-weight search field" -> "highest-leverage" (self-
  justified rest kept).

Verify: re-grep final file — all overclaim/conflation patterns NONE, new SSOT
text in place; grant-hygiene unchanged; test-runner 81/0/0 exit 0; counts 29/19
unchanged (.md-only). FIXED, 0 deferrals.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016qgzo6rxthw7KuxHjn5vyE
2026-06-19 21:12:54 +02:00
0e4466b893 fix(linkedin-studio): S9 — full algorithm-magnitude sweep + lint rebuilt to the criterion
Closes the S8 re-review (BLOCK 3/4/1). The S8 fix patched only the 2 strings S7 named; the re-review found 6 more same-class survivors. Per the systemic read, this is a comprehensive sweep, not a per-line patch.

Reconciled every retired engagement-coefficient + model-fact survivor against the canonical references/algorithm-signals-reference.md (order, not coefficients; comment ≈ 2x a like; no model name/params):
- glossary.md: coefficient table + Save-Signal '10x weight' → canonical ordering (citation now true)
- engagement-frameworks.md, analytics-interpreter.md, content-optimizer.md, pipeline.md, engagement-coach.md: the 10x/8x/7-9x/2.5x/0.2x system (incl. 4 survivors the re-review did not cite) → ordering
- playbook: '15x more algorithmic boost' + video '5x more conversations' → directional, sourced
- profile.md + linkedin-voice/SKILL.md: '150B parameter foundation model' → '2026 relevance-ranking model'
- quality-scorecard.md: '360Brew Validation' → topic-relevance framing
- setup.md: 'thought leadership plugin' → 'LinkedIn Studio plugin'

Lint (MAJOR 4): rebuilt scripts/test-runner.sh STALE_STATS to forbid EVERY retired-class phrasing (not the 2 S7 strings) + widened scope to assets/checklists/. Targets retired phrasings (7-9x, (10x), '10x weight', '5x more conversations'), NOT bare 10x/15x/5x (legit 5x5x5 / cadence / pixel-dims / '10x your reach' hyperbole). Proven non-vacuous: catches all 10 retired strings, ignores all 10 legit uses.

Tests (MAJOR 7): added no-anchor fall-through tests for recordFirstHourPlan + recordOutreachContact (date scalar not written/reported, section still appended). MINOR 8: reflowed newsletter.md content-repurposer wiring onto one line.

test-runner.sh 66/0/0; node --test 94/94 (was 92, +2). NO push until /trekreview re-clears the gate.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-05-30 09:56:49 +02:00
b0e7866d95 feat(linkedin-studio): honest newsletter distribution + profile-SEO + outreach pipeline
Step 17 (Wave 4 S4) of the audit remediation. Applies research/03 §D5 + the
two S2 residual fixes folded in. No new commands/agents (counts stay 27/19).

Newsletter (commands/newsletter.md): new "Distribution channel" section after
Step 10 teaching the HONEST native-newsletter mechanics — bypasses organic feed
ranking via ONE deduplicated notification per subscriber per edition (NOT a
three-touchpoint blast); the mass invite fires once → ~1-2K follower floor
(wait until you can spend it); realistic cold-start 0-100 subs months 1-3;
discloses non-export / no-canonical / no-read-analytics / per-subscriber decay;
explicit below-vs-above-floor decision rule. Sourced to research/03 D5.

Profile (commands/profile.md): new "Profile SEO" section — headline as the
highest-weight search field + a per-section keyword-target table
(headline/about/experience/skills/featured), consistency-over-stuffing rule.

Outreach (commands/outreach.md): Step 8c persists the pipeline board to tracked
state via the new recordOutreachContact mutation (mirrors Step 16's
recordFirstHourPlan): additive last_outreach_date/outreach_active scalars + a
non-R-initial ## Outreach Pipeline section in state-updater.mjs +
config/state-file.template.md + --record-outreach CLI branch. +7 tests
(state-updater 26→33, full hook suite 83→90).

Residual 1 (growth-playbook:216): 9:16 "distribution boost" → 4:5/1:1 guidance
(9:16 mobile-only opt-in; "immersive distribution" = uncorroborated heuristic).
Residual 2 (video-strategy-guide:300): "3-second test determines 70% retention"
→ "front-load value for muted autoplay" (three-second hook is folklore, not a
LinkedIn signal).

Verify: grep checks 1-5 pass; test-runner.sh exit 0 (stat-consistency green);
state-updater 33/33. [skip-docs] — tre-doc + version bump deferred to Step 21.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-05-30 07:07:41 +02:00
3dd8f40c31 fix(linkedin-studio): propagate reconciled algorithm numbers, cite-not-restate
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-05-29 20:32:17 +02:00
52fa87a255 refactor(linkedin)!: rename plugin linkedin-thought-leadership → linkedin-studio (v3.0.0)
BREAKING CHANGE: the marketplace slug, the agent namespace
(linkedin-studio:<agent>), and the runtime state-file path
(~/.claude/linkedin-studio.local.md) all change. Reinstall required;
existing state migrated in place (post metrics, streak, history preserved).
The /linkedin:* commands are unchanged — the command namespace is set
per-command in frontmatter and was always independent of the plugin slug.
Functionality is byte-identical to v2.4.0; this release is pure identity.

- dir + manifests: plugins/linkedin-studio + plugin.json + root marketplace.json
- agent namespace updated in commands/newsletter.md (only functional invoker)
- state path updated in 4 hook scripts + topic-rotation prompt + state template
- catch-all skill dir renamed skills/linkedin-studio (5 functional skills unchanged)
- docs + version bump to 3.0.0 across README badge, CHANGELOG, root README/CLAUDE.md
- historical records (CHANGELOG past entries, docs/ build artifacts,
  config-audit v5.0.0 snapshots) intentionally retain the old slug

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-05-29 11:32:02 +02:00
Kjell Tore Guttormsen
40986575b6 feat(ultraplan-local): v1.6.0 — /ultraresearch-local deep research command
Add /ultraresearch-local for structured research combining local codebase
analysis with external knowledge via parallel agent swarms. Produces research
briefs with triangulation, confidence ratings, and source quality assessment.

New command: /ultraresearch-local with modes --quick, --local, --external, --fg.
New agents: research-orchestrator (opus), docs-researcher, community-researcher,
security-researcher, contrarian-researcher, gemini-bridge (all sonnet).
New template: research-brief-template.md.

Integration: --research flag in /ultraplan-local accepts pre-built research
briefs (up to 3), enriches the interview and exploration phases. Planning
orchestrator cross-references brief findings during synthesis.

Design principle: Context Engineering — right information to right agent at
right time. Research briefs are structured artifacts in the pipeline:
ultraresearch → brief → ultraplan --research → plan → ultraexecute.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-08 08:58:35 +02:00