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10 commits

Author SHA1 Message Date
94d4e707db feat(linkedin-studio): de-niche content framework + planner calendar — recast/rename to content-framework.md (B-S2a) [skip-docs]
B-S2a, the constraining-first slice of the de-niche sweep: kill the niche at
its source. B-S1 made trend-spotter pillar-driven, but the agent still READ
references/ai-content-framework.md (and so did differentiation-checker,
voice-trainer, and the content-creation skill) — an AI/Microsoft-specific file
whose very name baked in the niche. So the niche leaked back regardless of how
clean the agents were. This recasts that file domain-general and de-niches the
content-planner seasonal calendar (the other hardcoded beat: MS Build/Ignite as
THE anchors). The principle: vary concreteness, don't sterilize
(plugin-is-domain-general).

- Recast + rename references/ai-content-framework.md -> references/content-framework.md:
  title "AI Content Framework" -> "Content Framework"; the 4 pillars kept as a
  domain-general pattern (News/Implementation/Strategy/Tools) with examples now
  spanning multiple fields instead of AI-only; AI-specific placeholders
  ([AI announcement], [AI system], GPT-X/Claude X) generalized to neutral
  brackets; anti-patterns "AI will change everything" -> "[Field] will change
  everything". The "News Monitoring / Sources by Priority" section (AI sources:
  The Batch, ArXiv, r/MachineLearning, OpenAI/Anthropic blogs) — now duplicated
  by the trend engine's config source-list — is thinned to point at
  config/trends-sources.template.md + the data-dir override, keeping the
  daily/weekly RHYTHM (general) and dropping the baked source list.
- Rename ripple, 6 referrers repointed: trend-spotter, differentiation-checker,
  voice-trainer (reference lines, + dropped "AI" from descriptions), glossary
  (Used-in + de-niched the "Example for AI content" pillar illustration),
  linkedin-content-creation SKILL ("AI-specific angles" -> "Domain content
  pillars + angles"), and test-runner §17 (NEGATIVE17 probe path + comment).
  docs/hardening/log.md left intact — historical record, not a live pointer.
- content-planner.md seasonal calendar de-niched: header "Nordic/Tech Focus" ->
  "rhythm, adapt to your field & region" + intro prompt; Microsoft Build,
  Ignite (x2), Apple/Microsoft launches, NDC, EU AI Act, "Azure AI" example
  pillar, "AI predictions", Nordic/17.mai locale anchors -> domain/region-
  neutral prompts. Global anchors kept (New Year, IWD, Halloween, Black Friday,
  year-end).

Deferred to after the full sweep (per STATE): extending the §17 de-niche guard
to content-planner (and content-framework) — the guard's token set + agent
scope is best designed once the sweep (B-S2b) reflects the final clean surface.

ref count unchanged (27; rename is 1->1). Gate 87/0/0 (§17 self-test green).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RBMKqPSVbvSZHtQ4heM1UY
2026-06-23 10:02:26 +02:00
05a22d2cc7 feat(linkedin-studio): de-niche trend-spotter — pillar-driven, no hardcoded beat (B-S1) [skip-docs]
The trend-spotter agent stated its own contract — "the niche lives in the
source list and the user's pillars, never in this agent" — yet contradicted it
by hardcoding the Microsoft/public-sector beat in four surfaces. Resolve the
contradiction so the file is genuinely domain-general (plugin-is-domain-general):
the domain comes from the user's profile/pillars at runtime, never baked in.

- Description: "trending topics in AI, Microsoft, and public sector" ->
  "across the user's content pillars and domain"; trigger phrases "what's
  happening in AI" -> "in my field"/"in my space".
- Mission: drop "intersection of AI, Microsoft technology, and public sector
  digitalization" -> "within the creator's own domain, defined entirely by
  their content pillars and expertise areas, never by a beat baked into this
  agent".
- Content Trigger Classification: "Microsoft platform changes" -> "platform
  changes in the user's stack"; "public sector milestones" -> "sector
  milestones in the user's domain".
- 4-Question Relevance Filter: "Public sector leaders or enterprise AI
  implementers" -> "the user's target audience (per their profile)".
- Anti-pattern example: "AI is changing everything" -> "[topic] is changing
  everything".

- CI: new test-runner Section 17 (trend-spotter de-niche guard) forbids the
  KTG-beat proper nouns (Microsoft|Azure|Copilot|public sector|offentlig
  sektor, case-insensitive) from returning to agents/trend-spotter.md, with a
  non-vacuity self-test mirroring Sections 8/13. Scoped to this one agent
  (B-S1); the wider sweep (B-S2) owns the other surfaces + the
  ai-content-framework.md reference filename. Assertion-count renumbered to
  Section 18. Gate 85 -> 87/0/0.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RBMKqPSVbvSZHtQ4heM1UY
2026-06-22 20:32:05 +02:00
be12fb8b63 feat(linkedin-studio): wire trend-spotter into the research engine — store + MCP routing + scoring SSOT (§5 slice 2b) [skip-docs]
Bind the layers slices 1 (store) and 2a (config) built: trend-spotter goes from
an amnesiac, niche-hardcoded scanner to a persistent, generic engine.

- Tools: drop the `tools:` allowlist (inherit all session tools incl. any
  research MCP) + `disallowedTools: Write, Edit, NotebookEdit`. An explicit
  allowlist would block every MCP unless its mcp__server__tool name were
  hardcoded — which breaks "prefer whatever MCP the user connected, hardcode
  nothing". WebSearch+WebFetch stay as the always-available floor; Bash runs
  the deterministic store CLI. (CC mechanic verified vs code.claude.com/docs.)
- Store-wiring (de-amnesia): query prior history before polling; persist every
  kept trend through scripts/trends `add` (dedup/union preserved — a raw Write
  would bypass it). Mirrors how specifics-bank is wired from the command layer.
- MCP-first routing: read the profile's "### Research Tooling" declaration,
  prefer a declared MCP, fall back to the floor, fail soft. No hardcoded names.
- Scoring -> SSOT: replace the inline matrix/composite/bands with a pointer to
  references/trend-scoring-modes.md (kortform default, long-form on request).
- Sources from config: replace the hardcoded vendor/outlet list + query bank
  with a read of trends/sources.md (user override) -> trends-sources.template.md
  (shipped default).
- CI: new test-runner Section 16 (trends-store binding guard, floor 21,
  KTG-only skip) mirroring the specifics-bank guard; assertion-count renumbered
  to Section 17. Gate 84 -> 85/0/0. model-consistency green (model unchanged).

Reload required: the tools-grant change takes effect only after a session reload.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RBMKqPSVbvSZHtQ4heM1UY
2026-06-22 14:51:50 +02:00
9e5695286d refactor(linkedin-studio): S29e terminology-scrub — rename thought-leadership-angles.md -> content-angles.md + all pointers
Final sub-pass of the S29 plugin-wide terminology scrub. The canonical reference file is
renamed and every functional pointer updated atomically in one commit. The file's in-file
title/headers were already FORM A-scrubbed in S29c (H1 reads "Content Angles"), so S29e is a
pure rename + pointer update — no FORM A remained in the file.

Rename: references/thought-leadership-angles.md -> references/content-angles.md (git mv).

Pointers updated (17 files, 29 occurrences) — token "thought-leadership-angles" -> "content-angles":
- references/ (2): ai-content-framework, glossary
- agents/ (7): content-repurposer, strategy-advisor, network-builder, content-planner,
  trend-spotter, video-scripter, differentiation-checker
- commands/ (6): pipeline, video, post, competitive, react, batch
- skills/ (1): linkedin-content-creation/SKILL
- docs/ (1, forward-looking): integration-test-guide

Left URØRT per the standing S29 decision (history = honest record of a past state, not a
runtime load): CHANGELOG.md, docs/hardening/log.md, docs/hardening/plan.md. STATE.md untouched
here (rewritten at session end).

Verify: no thought-leadership-angles* file remains; references/content-angles.md present; zero
residual "thought-leadership-angles" in commands/agents/references/skills/integration-test-guide;
structure gate scripts/test-runner.sh 81/0/0 exit 0.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016qgzo6rxthw7KuxHjn5vyE
2026-06-20 06:39:49 +02:00
b6ba826be5 fix(linkedin-studio): S29b terminology-scrub — "thought leadership" → neutral (agents/)
Second sub-pass of the S29 plugin-wide terminology scrub: the banned brand phrase
"thought leadership" (FORM A) removed from the agent surface. 17 edits across 6 agents
(strategy-advisor, content-planner, voice-trainer, network-builder, differentiation-checker,
trend-spotter). Vocabulary consistent with S29a: "thought leadership angle(s)" → "content
angle(s)"; "thought leadership" (positioning/practice) → "authority …"; the whole "Value Test"
family → "Authority Value Test".

15 in-file phrase occurrences (space-grep) + 2 abbreviated "TL Value Test" instances found
during the header anchor-check (trend-spotter:192/:257, TL = Thought Leadership) — surfaced as
an addendum and operator-approved before edit, scope not expanded silently. The
differentiation-checker:47 web-search query thought leadership → expert insights
(functional-keyword judgment-call, operator option b).

Scope (operator-locked, inherits S29a): FORM A only. FORM B ("thought leader(s)" as role,
agents = 2) untouched. The 11 thought-leadership-angles.md filename pointers deferred to S29e.

Verify: FORM A in agents/ = NONE; abbreviated TL = NONE; FORM B unchanged (2); filename
pointers unchanged (11); diff 6 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 22:53:14 +02:00
2b9ed1cf0b fix(linkedin-studio): S27 ref-consistency A — "penalty/penalizes" framing → SSOT
Reconcile external-link and topic-relevance reach-loss framing to the algorithm-signals
SSOT across 6 files (10 edits): body links "correlate with lower reach" (LinkedIn denies
an intentional penalty), topic relevance is a positive ranking input with no quantified
off-topic figure. 3 plan-cited lines + 7 same-class siblings surfaced during verify.

Bucket B (link-penalty lines in linkedin-formats.md) folded into S28; Bucket D (other
unsourced reach-coefficients: -68%/-25%/-15-25%/-30-50%/55%) queued as new S30. Engagement-
pod + AI-slop "penalized" framing left intact (officially confirmed). Gate 81/0/0; counts
29/19 unchanged.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016qgzo6rxthw7KuxHjn5vyE
2026-06-19 22:06:39 +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
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
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