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9 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
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
9d83dbc81c fix(linkedin-studio): S29a terminology-scrub — "thought leadership" → neutral (commands/)
First sub-pass of the S29 plugin-wide terminology scrub: the banned brand phrase
"thought leadership" (FORM A) removed from the user-facing command surface. 15 in-file
phrase occurrences across 9 commands re-sourced to neutral wording (post, video, strategy,
batch, setup, react, outreach, onboarding, monetize) — e.g. "thought leadership content
creator" → "content creator", "Select Thought Leadership Angle" → "Select Content Angle",
"Build thought leadership & authority" → "Build authority & influence", onboarding guide
→ "LinkedIn Studio onboarding guide".

Scope (operator-set): FORM A only. FORM B ("thought leader" as role, incl. the buzzword
denylist at post.md:134) left untouched. The 11 filename pointers to
references/thought-leadership-angles.md deferred to S29e (atomic rename + pointer update);
competitive.md/pipeline.md carry only pointers and are untouched here. Pure history
(CHANGELOG, docs/**) left intact per "history → git".

Verify: assertive non-filename FORM-A in commands/ = NONE; FORM B count unchanged (15);
diff +15/-15 across 9 files (1:1); gate 81/0/0; counts 29/19/26/6 + v0.5.0 unchanged.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016qgzo6rxthw7KuxHjn5vyE
2026-06-19 22:37:05 +02:00
6bd263144f docs(linkedin-studio): M0-15 — repoint remaining prose families + route ab-tests/plans 2026-06-18 13:04:18 +02:00
c0abb82d9c docs(linkedin-studio): M0-14 — D3 path-convention + voice-readers prototype 2026-06-18 12:38:17 +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
570b163bbe refactor(linkedin-studio): wire or delete 11 orphan agents (case-by-case) — 9 here, 2 in Steps 14/16
Resolves the orphan-agent audit finding by the locked default: wire all, no deletions, so the agent count stays 19. Per agent, added Task to the target command's allowed-tools and a coherent 'subagent_type: linkedin-studio:<name>' delegation at a real point in the command's flow (not a token grep-match).

Wired (agents 1-9 of 11): video-scripter -> video.md (Step 4); content-optimizer -> post.md (Step 7 refinement) + ab-test.md (2a.4 optimized challenger); analytics-interpreter -> report.md (Step 7, report mode) + analyze.md (Step 2, interpret mode); content-planner -> batch.md (Step 2) + pipeline.md (Step 1); trend-spotter -> batch.md (Step 1) + pipeline.md (Step 1); network-builder -> outreach.md (Step 3a); strategy-advisor -> strategy.md (Step 3); voice-trainer -> setup.md (Step 3a); post-feedback-monitor -> calendar.md (publish action, 48h monitor).

Deferred to their dedicated steps: #10 differentiation-checker -> Step 14 (short-form de-AI gate), #11 engagement-coach -> Step 16 (first-hour command). Namespaced subagent_type form requires a session reload before the wired agents are invokable.

Verify: each of the 9 has >=1 invocation in commands/; structural lint 61/61 (counts 19/26/25/6 intact); agent-fixtures 35/35; hook tests 62/62. Three-doc + version reconciliation deferred to Step 21 per the locked plan [skip-docs].

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-05-30 01:26:36 +02:00
c7db6afd55 fix(linkedin-studio): ship placeholder voice profile, gitignore real, sentinel detection
Wave 2 / Step 5 of the remediation plan (coupled criticals: voice-leak +
placeholder-detection).

Voice profile (the adopter-default leak):
- Ship a PII-free placeholder at authentic-voice-samples.md carrying a
  <!-- VOICE_PLACEHOLDER --> sentinel + neutral default voice principles.
- Migrate the author's real profile to gitignored authentic-voice-samples.local.md
  (already matched by *.local.md; added an explicit, commented .gitignore entry so
  the intent is unmissable). NO git-history rewrite — the historical file is
  attributed authorship, not a secret (per the plan threat model).
- Add authentic-voice-samples.template.md — a clean fill-in template for adopters.
- personalization-score.mjs: detect the sentinel (deterministic) instead of the
  unreliable `[Your Name]` heuristic, so the placeholder scores 0 voice points and
  a populated profile (sentinel removed) earns the 25.
- Both voice writers replace-not-append on the placeholder: setup.md (merge ->
  replace-if-placeholder) and onboarding.md (append -> replace-if-placeholder), so
  populating removes the sentinel; updated setup.md's stale heuristic table.

Operator decisions (deviations from plan-literal, approved this session):
- KEEP the plugin.json author name. The plan said scrub author -> neutral/org, but
  that contradicts its own LICENSE reasoning (intentional MIT attribution) and all
  5 sibling plugins keep author = the author; scrubbing only this one would create
  inconsistency for zero security gain (the name is public-by-design). The voice
  placeholder fully fixes the adopter-inheritance bug.
- Scrub the stale "January 2026 360Brew" brand from the plugin.json description and
  the "360brew" keyword (locked decision: no publishable model name/date). This is
  a Wave-1 propagation miss surfaced here because plugin.json was in Step 5's
  touch-scope.

Flagged for follow-up (NOT done here — out of Session 2 scope):
- The lint's stat-consistency grep (scripts/test-runner.sh) scans references/,
  commands/, skills/, hooks/prompts/, CLAUDE.md, README.md — but NOT
  .claude-plugin/plugin.json, which is why the 360Brew brand slipped Wave 1.
  Needs a Session-1-scoped lint extension to add plugin.json to the scan set.
- Readers (user-prompt-context.mjs, voice-guardian.md, state-update-reminder.md)
  read the tracked .md (placeholder), per the plan. The operator's real voice now
  lives in the gitignored .local.md, which nothing reads. To use it, readers + the
  voice score should prefer .local.md (matching the user-profile.local.md
  precedent). Deferred as a coherence follow-up for operator review.

Test-first: hooks/scripts/__tests__/personalization-score.test.mjs (red on the
placeholder scoring 25 under the old heuristic, green after the sentinel fix). Hook
suite 62/62, structural lint 0 failed.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-05-30 00:23:32 +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