# claude-resume-kit — Project Instructions

> This file is auto-loaded by Claude Code. It provides project-wide rules for all skills.

---

## File Map

```
.claude/skills/
├── setup-extract/SKILL.md       # Extract from papers/files into structured extractions
├── setup-build-kb/SKILL.md      # Build experience files, bundles, taxonomy from extractions
├── make-resume/SKILL.md         # Phase 0-2: JD research → bullet plan → resume/CV generation
├── make-cl/SKILL.md             # Cover letter generation from session file
├── edit-resume/SKILL.md         # Edit resume/CV from critique or user feedback
└── critique/SKILL.md            # 8-dimension critique of full package

resume_builder/
├── canonical/
│   ├── claims.json              # Highest-authority career facts and claim controls
│   └── historical_outputs.json  # Reuse safety for prior application packages
├── reference/
│   ├── shared_ops.md            # Session startup, derivation, workflow — ALL skills
│   ├── resume_reference.md      # Resume/CV rules — /make-resume, /edit-resume
│   ├── cl_reference.md          # CL rules — /make-cl, /edit-resume (CL edits)
│   ├── critical_rules.md        # Compact re-read — /make-resume Phase 2
│   ├── session_file_template.md # Session file format
│   ├── critique_framework.md    # Separate fit, document, and channel assessment
│   └── application_strategy.md  # Targeting and cohort strategy
├── templates/                   # LaTeX .cls + .tex templates
├── helpers/                     # Validators, diagnostics, and cohort tracker
├── examples/                    # Example KB for a fictional researcher
├── experience/                  # /setup-build-kb outputs: one file per position
├── bundles/                     # /setup-build-kb outputs: one per target role type
└── support/                     # /setup-build-kb outputs: skills taxonomy, pub metadata, etc.

knowledge_base/                  # User's raw materials
├── extractions/                 # /setup-extract outputs here
├── papers/                      # Drop your PDFs / .tex source here
└── notes/                       # Any other reference material

config.md                        # User configuration (email, provenance, role types)
```

---

## Your Role

You are simultaneously:
1. **Expert Resume Strategist** — STAR bullets, ATS optimization, strategic framing
2. **Senior Hiring Manager** (resumes) / **Senior Scientist** (CVs) — evaluate from the reader's chair

You write as the strategist but critique as the reader.

**Hard rules:**
- Output .tex files ONLY. User compiles locally.
- Read `config.md` for email, provenance flags, and output preferences.
- **Accuracy > Relevance > Impact > ATS > Brevity**

## Evidence-First Workflow

- `resume_builder/canonical/claims.json` is the highest-authority source for career facts, ownership scope, skill evidence, and allowed wording.
- Files under `output/` are generated artifacts, never evidence sources. Check `resume_builder/canonical/historical_outputs.json` before reusing any historical package.
- Verify the JD and assess hard gates before writing. Record Evidence Fit, Document Quality, and Channel Strength separately; never collapse them into one optimistic score.
- Default to the International Tech profile for US-tech/FAANG roles in Europe. Use the Swiss/DACH profile only when the audience calls for it.
- Natural bullet length and relevance govern selection. There are no character targets, forced line variants, or page-fill quotas.
- A cover letter is conditional. Generate one only when required or when it adds specific evidence or motivation that the resume cannot show.
- Run `resume_builder/helpers/validate_resume_system.py` on generated documents, compile the LaTeX, and inspect the rendered output before finalization.

---

## User Focus Directives

- **"Emphasize X"** — prioritize X-related achievements
- **"Downplay Y"** — reduce or omit Y-related bullets
- **"Include Z"** — force-include achievement Z
- **"Lead with A"** — make A the first bullet in its position
- **"Keep B concise"** — shorten without deleting material evidence

If no directives, use bundle's Priority Matrix defaults.

---

## Anti-Fabrication Rules

**CRITICAL: These rules override everything else.**

### Accuracy Priority
**Accuracy > Relevance > Impact > ATS > Brevity**

When in doubt between a more impressive but less accurate claim and a less impressive but accurate claim, ALWAYS choose accuracy.

### Provenance Discipline
- Read `config.md` Provenance Flags before every generation
- NEVER claim unpublished work is published
- NEVER claim internal tools are peer-reviewed
- NEVER inflate author position (contributing does not equal first author)
- NEVER claim results from collaborators' experiments as the user's own

### Verb Discipline
- **Full-ownership verbs** (Developed, Built, Engineered, Designed) ONLY for work the user performed independently
- **Hedged verbs** (Contributed, Provided, Supported) for shared or contributing-author work
- When in doubt, hedge

### Scope Discipline (big-corp ownership — RECURRING ERROR, enforce hard)
Dennis works in large enterprises (Swisscom, Bosch, etc.). He does **not** solo-own company-wide platforms, migrations, or systems. Repeated past error: "Built a Data Mesh", "I own the data platform", "Migrated the warehouse" written as if he did it alone.
- **NEVER** pair a full-ownership verb with a company-wide/organization-scale object (a Data Mesh, the data platform, the company warehouse, the observability platform). That reads as a false solo claim.
- He **owns what is genuinely his**: his components/domains (Component Owner, Application Owner), the data products he modelled/built/onboarded, the pipelines and services he delivered, the migration work *within his scope*.
- **Fix pattern:** scope the object or hedge the verb.
  - ✗ "Built a decentralized Data Mesh" → ✓ "Built governed data products within \<Company\>'s company-wide Data Mesh"
  - ✗ "I own the cloud-native data platform" → ✓ "I build and own data pipelines and products on \<Company\>'s platform"
  - ✗ "Migrated the legacy warehouse to AWS" → ✓ "Migrated my domains' ETL stack to AWS" / "Contributed to the warehouse migration"
- Titles he legitimately held (Component Owner, Application Owner) ARE his — state them plainly. The ban is on implying he single-handedly built/owns shared org-scale infrastructure.
- See `[[feedback_bigcorp_ownership_scope]]` in memory.

---

## Generation Rules

### Rule 1: No code folder names as package names
NEVER use internal code folder names as if they are software packages. Always describe the tool/method instead (e.g., "custom FEM solver" not "FEM_project/").

### Rule 2: No LOC counts or test counts in output
NEVER include lines-of-code counts or test counts in resume, CV, or cover letter output. Focus on what the tool does, its impact, and adoption.

### Rule 3: Publication status accuracy
Only list papers as "Under Review" if they are actually under review. Check `config.md` Provenance Flags.

### Rule 4: Publication format — use et al.
Use et al. format. Show authors up to and including the user's position, then "et al." When total authors <= 4, show all names.

### Rule 5: Funding is not a personal award
Institutional project funding (grants, internal R&D programs) is NOT a personal fellowship or award. Never list funding sources under Fellowships & Honors.

---

## LaTeX Scientific Notation (MANDATORY)

All templates load `mhchem` (`\usepackage[version=4]{mhchem}`). Use these conventions:

| Item | Correct LaTeX | Wrong | Rendered |
|------|--------------|-------|----------|
| Chemical formulas | `\ce{H2O}`, `\ce{TiO2}` | `H2O`, `H$_2$O` | H₂O |
| Superscripts | `$^2$`, `$^\circ$C` | `^2`, `°C` | ², °C |
| Greek letters | `$\beta$`, `$\alpha$` | `beta`, `alpha` | β, α |
| Approximately | `$\sim$64` | `~64` (LaTeX non-breaking space!) | ~64 |

**CRITICAL:** `~` in LaTeX is a non-breaking space, NOT a tilde. Use `$\sim$` for "approximately."

Character counts are diagnostic only; they must never drive page filling or equal-length bullets.

---

## Active Sessions

_Update this section when starting/finishing a JD._

| Session | Status | Next Command |
|---------|--------|-------------|
| Citadel Securities — Platform Engineer, Research Platform Engineering, **Zürich** (also NY/Miami) | **PACKAGE FINAL 2026-08-26 — ready to submit, submission not yet confirmed.** 2pp resume (13 bullets) + 1pp CL (270 words), both validator **PASS, 0 warnings**; JD term coverage 51%→68% after Tier 1 fixes. Critique **STALE by design** (86/100 pre-edit; user chose to submit as-is over re-critiquing; est. ~91 post-edit, never quote as a score). **Cohort entry and decision-log entry deliberately NOT written — no confirmed send date.** Commands ready in the session file. **The working-model question is still open and travels with the application:** Evidence Fit **71/100 (Adjacent, mid-band; revised down from 74)**, qualifications gate PASS but **a practical constraint is UNRESOLVED**, which `critique_framework.md` treats as a NO-GO trigger. **The JD is silent on hybrid vs onsite (0 grep matches), and Ken Griffin is on record that Citadel returned to the office 5 days a week and calls it his most important leadership decision.** If that holds for Zurich, it means ~2–2.5h daily commuting from Bern or relocating — breaking the Bern-based / 2–3 day hybrid bar. Only contrary evidence is a stale 2022 anonymous Fishbowl post about Operations. **Must be asked, not researched** — same class as the SBB K band. Practical constraints scored 5/5 in Phase 0 on an unexamined assumption; corrected to 2/5. **Zero Gaps among the 7 minimum quals**, and all five preferred technologies (Kafka, Kubernetes, Spark, Airflow, distributed DBs) are Direct — **the strongest raw stack alignment in the log**. Title-defining function **splits**: R2 (ingestion/transformation/storage/lifecycle of large datasets) is Direct and describes SW-1/SW-7 exactly; **R1 (design and build the research platform itself) is Adjacent** — the Aker BP authoring-vs-building shape again, and unwritable-around under Scope Discipline. **Classification caveat:** `application_strategy.md`'s "a defining responsibility is only Adjacent → Stretch" would strictly class this Stretch; recorded Adjacent per the Aker BP precedent. Both cohort slots free either way. Gaps: platform authoring at firm scale, no professional quant/finance (now partly mitigated by new **PP-1/PP-2**), SDKs (0 evidence), low-latency/HFT (0 evidence — thesis throughput figure is explicitly barred by `thesis_limits`). **Go is NOT a gap** — Q3 is disjunctive and Python satisfies it. **$175–350k in the posting is a US/NY pay-transparency disclosure, NOT the Zurich number — must be asked.** Channel **Weak/cold** — would be the 5th consecutive cold application, in an office visibly staffed from Google and ETH (platform research head Costas Bekas; Nicolai Meinshausen leads principal research). Cover letter: **YES** if it proceeds — the PP-1 domain story is the main differentiator and needs prose. | **Ask Citadel Securities recruiting whether the Zurich seat is hybrid or 5-day onsite BEFORE building the package.** If 5-day onsite → likely NO-GO on the Bern constraint. If hybrid 2–3 days → resume Phase 2 (plan is written and budget PASSes at 11–14 bullets; two open items: Vizrt VZ-1 C++/distributed bullet, and adding a Projects section for PP-1) |
| SBB — Data Engineer (m/w/d), Asset Management Infrastrukturanlagen, **Bern** (Job ID 103755) | **SUBMITTED 2026-08-25.** Cohort slot: **Core (evidence-first-2026-01)**. 2pp English resume (13 bullets, validator PASS) + critique: **Document Quality 92/100** (90 at critique, +2 after Edit 1), hard gate PASS, no Tier 1 truth findings, **no outstanding fixes**. No cover letter — SBB waives it. Evidence Fit **79/100 (Core, lower end)**, hard gate **PASS** — the title-defining capability (build/operate cloud data pipelines and governed data products) is Direct and current, unlike the AWS FDE NO-GO. Best practical fit in the log: **Bern-based, German-language, no relocation, EU citizen + B permit**. Real strength cluster for the *vorausschauende Wartung* purpose — Bosch fab sensor/process data, ELK/Kafka anomaly detection, containerized ML inference, plus the condition-monitoring thesis. **Two open risks, both level/comp not fit:** (1) **Anforderungsniveau K** is a capped GAV band and the figures are not public — must be asked, not researched; (2) the seat reads **lateral or below** current Staff + Component Owner scope (same shape as the declined BKW). Named gaps: Snowflake, dbt, Argo Workflows, Helm, Power BI, Spring Boot, Angular — all non-canonical, survivable only because the JD prefixes the stack list with "z. B.". **Cover letter: NO — SBB explicitly waives it.** Channel: posting names **Andri Wienandts, People Leader, +41 79 364 62 53** — the first published warm entry point in the entire log. **The comp question was NOT resolved before submitting**, so the K band is now a live screening topic rather than a pre-cleared one; the same applies to Kidz Care childcare support (up to 90% of Betreuungskosten but scaled on *gross household* income, so realistically far less at this level — bracket table is intranet-only). | Prep an interview brief before any screening call: (1) Anforderungsniveau K band figures, (2) design/architecture scope vs current Staff + Component Owner level, (3) Kidz Care actual rate at this band. Named gaps to have honest answers for: Snowflake, dbt, Argo Workflows, Helm, Power BI |
| AWS (AWS EMEA SARL, Switzerland Branch) — Senior Forward Deployed Engineer, Zürich (job 10504263) | **CLOSED — NO-GO 2026-08-18** at the Phase 0 gate. Evidence Fit **69/100** (Adjacent). Minimum-qual gate passed (all 4 Basic Quals Direct) but the *title-defining* capability — customer embedding — is a Gap that `claims.json` globally forbids claiming, and R2 multi-agent/retrieval is a second Gap. User declined: **69 is below the fit bar worth spending a package on.** Consistent with revealed behaviour — every application actually submitted scored **77.5–89**; nothing below 75 has ever been sent. **No cohort slot consumed (Adjacent stays 1/2).** Phase 0 analysis retained in the session file for reuse if a better-fitting AWS req appears. | Done — no package built |
| Google — Forward Deployed Engineer III, Google Cloud GTM (French, German), Zürich (req 78350205438567110) | **CLOSED — NOT PROCEEDING 2026-08-18.** Phase 0 was done (Evidence Fit 67/100, hard gate PASS) but user declined to proceed after **two Google rejections** (Merchant Data Science, Business Home): the bar is now that a Google req must fit *very* well to be worth a third attempt, and this one was Adjacent with an agent-orchestration Gap. **Frees the Adjacent cohort slot (back to 1/2).** Phase 1 never started. | Done — do not reopen without a materially stronger Google req |
| SDU Center for Energy Informatics, Odense DK — PhD, Theme 2 Predictive Maintenance & Asset Management of Smart Energy Networks (job 4159) | **CLOSED — NOT PROCEEDING 2026-08-18.** Enquiry email to Prof. Bo Nørregaard Jørgensen (sent 2026-08-02) went unanswered for 16 days; user dismissed the idea. Genuine thesis fit (vibration condition monitoring, RBR+ANN hybrid) but the blockers were never the documents — 2 letters of recommendation 13 years out of academia, and DKK 37,075/mo ≈ CHF 56k against a 180k bar. Deadline was 2026-08-20. | Done — no further action |
| Aker BP ASA — Data Product Architect, AI-ready Data Products (FINN 469067315) | **SUBMITTED 2026-07-30** (ahead of the 2026-08-02 deadline; Adjacent, **Evidence Fit 79/100**, Document Quality 93/100, hard gate PASS, Channel Weak; Stavanger/Oslo/Trondheim, English working language, no Norwegian and no clearance required, EEA work rights). 2pp resume + 1pp CL, both validator PASS. Honest practitioner framing: builds governed data products *inside* Swisscom's Data Mesh; role *authors* an enterprise framework — real level stretch, never fabricate authorship. **Atlassian Compass closed the catalogue-tool gap** (74→79). Remaining gaps: framework authorship, no energy domain, AWS vs their Microsoft/Cognite stack, **zero verified metrics**. | Done — await response; optional follow-up email to Per Olav Marthinsen |
| Google - Software Engineer III, Business Home, Zurich (req 93922217108087494) | **CLOSED - NOT PROCEEDING 2026-07-28** (submitted 2026-07-27; Core, Evidence Fit 89/100, Document Quality 94/100; no interview). Rapid early-screen disposition; known risks were Mid-level versus current Staff scope, data/platform versus product-SWE positioning, preferred algorithms/accessibility gaps, and a cold channel. | Done - cohort rejection recorded; do not treat this outcome alone as a document-quality failure |
| Microsoft — Principal Forward Deployed Engineer, SWE (German Speaking), Zürich (req 200043897) | **SUBMITTED 2026-07-27** (84.2/100 Pass 2; finalized 2-page resume + 1-page cover letter). Strong native-German, Staff progression, production ownership and enterprise-data-readiness case; honest gaps remain in end-to-end LLM delivery, Azure AI and strategic-account FDE experience. | Done — await response |
| BIS Basel — Senior Data & Analytics Engineer, AI (jr100429, 3-yr term) | **SENT 2026-07-10** (80.5/100; deadline 2026-07-24; hybrid Basel, English-working intl org). Critique flags LLM-depth probe (integration/config vs. ownership) as the screening risk — prep honest answer before any call | Prep interview brief when screening lands |
| NATO JWC Stavanger — Staff Officer, AI Engineer (2030 Digitalisation, G15, 3-yr PLN) | **SENT 2026-07-10** (77.5/100; deadline 2026-08-09; final interviews 2nd half Oct 2026). Borderline screen: Azure-cert "or equivalent", LLM depth, no current clearance; German national + officer service are the legibility assets. Tax-free NOK 93,933/mo + allowances | Await screening; no action until contact |
| Microsoft — Senior SWE, Industry Solutions Engineering (ISE), Zürich (req 200040836) | **CLOSED — REJECTED 2026-08-11** (submitted 2026-07-03, 85.8/100 Pass 2; 2pp resume + 1pp CL; verbatim Eightfold JD; IC4 base CHF 146.2–245.9k; applied ~7 days after posting). No interview, ~39 days to disposition. Cold-channel application; does not implicate document quality on its own. The separate Microsoft **Principal FDE** req 200043897 is a different pipeline and remains open | Done — cohort rejection recorded |
| Kraken (Payward) — SRE, AI Agents (remote, CH-eligible) | **CLOSED — REJECTED 2026-06-17** (applied 2026-06-15 ~87.2/100, no interview). Honest gaps (NO Terraform/SRE-title/LangGraph) likely the filter; 4th Kraken req declined/rejected to date | Done |
| Google — Senior Data Engineer (Merchant Data Science), Zürich/MV | **CLOSED — NOT PROCEEDING 2026-07-24** (applied 2026-06-15, 85.5/100; passed Google Hiring Assessment 2026-06-20, no interview). Assessment pass remains recorded separately. The official 90-day wait applies only to reapplying for the same job; different Google roles remain eligible, subject to 3 applications per rolling 30 days. | Done — target a different strong-fit Google req |
| Snowflake — Sr SWE, Enterprise (Observe by Snowflake), Zürich | **CLOSED — NO RESPONSE 2026-08-25** (sent 2026-06-06, ~86/100; 2pp resume + 1pp CL; real Ashby JD; comp CHF 176–253k base; NO C++ gate). Closed by user decision at **80 days silent** — past the longest real disposition in the log (Equinor, 79 days). **No rejection was ever received: this is a presumed-dead call, not a rejection — do not count it in rejection statistics or treat it as a document-quality signal.** Cold channel. Pre-dates the evidence-first-2026-01 cohort (started 2026-07-27), so **no cohort slot freed**. Highest-scoring package in the log at ~86 and it drew no reply at all — the strongest single argument in the log for the channel problem over the document problem. **Unblocks the Snowflake Observe Metrics Platform req** (`db4f0492`), paused 2026-07-28 solely to avoid stacking a second cold application on the same org while this one was open | Done — if Snowflake is still wanted, the Metrics Platform req is now open to pursue, but route it through a recruiter rather than another cold submit |
| Isovalent (Cisco) Sr Data Engineer, Observability | **CLOSED — role pulled** (live Cisco scrape 2026-06-02: not on board; Recruitee link dead). Package finalized ~86/100, SHELVED for reuse | Done — retarget PDFs to next live data-eng req (QuantCo/Grafana/Confluent) |
| Google Zürich Sr SWE Infrastructure (Data Pipeline) | **CLOSED — DROPPED + DELETED 2026-06-02** (poor fit). Live JD = Core infra/systems SWE with **C++ as a MINIMUM qual**, off-thesis vs `user_positioning`. Output folder deleted (was built on a fabricated JD). | Done — do not reattempt this req |
| Kraken AI Infrastructure | **CLOSED — REJECTED** (applied, no interview) | Done |
| Infineon Doctoral | **CLOSED — withdrew** (got interview invite, declined: no relocation to Germany) | Done |
| Infineon AI Engineer | **CLOSED — not applied** (no relocation to Germany) | Done |
| Apple Data Engineer (ISE, Zurich) | **CLOSED — REJECTED** (no interview) | Done |
| Google FDE GenAI (Zurich) | PAUSED — GenAI evidence gap too large; redirecting to data-eng/MLOps roles | Likely abandon |
| Equinor — Manager / AI Architect, Agentic systems (Stavanger/Oslo/Rotvoll/Sandsli; req JR106747) | **CLOSED — REJECTED 2026-08-14** (submitted 2026-05-27, ~80/100; posting deadline 05.06.2026). No interview, **79 days** to disposition — the longest turnaround recorded. Cold channel. This was a **Manager** req, not a pure IC architect role, so level/scope stretch compounds the standing Norway per-role gates (norsk working-language, no NO clearance — **not** comp: the 180k bar is CH-only and does not apply to Norway). **Pre-dates the evidence-first-2026-01 cohort (started 2026-07-27) — does not free a cohort slot.** **The Norway lane stays OPEN but selective** — Equinor, Telenor and NATO JWC remain in the scout; the user has explicitly said he still wants to reach out for very good Norwegian roles, Equinor included, after this rejection. Never frame this lane as closed. | Done — cohort-external rejection recorded |
| QuantCo Cloud Engineer (Europe/Zürich) | **CLOSED — REJECTED** (applied 2026-06-01 ~82/100, no interview; rejection 2026-06-15) | Done |

---

## KB Corrections Log

_See `config.md` for user-specific corrections. Add verified errors here as you find them._

| Date | Correction | Files fixed |
|------|-----------|-------------|
| 2026-08-21 | **The data-engineer bundle carried the SW-1 scope violation it was supposed to prevent.** `bundle_data_engineer.md` §S5's cover-letter opening hook read "*while simultaneously leading the migration of our legacy stack to a cloud-native AWS architecture*" — a full-ownership verb on a company-scale object, directly contradicting `claims.json` SW-1 `forbidden` **and** point 2 of the narrative thread three lines below it. Live trap for every future data-eng cover letter. Rewritten to the scoped form plus an inline scope warning. **Check the other four bundles for the same pattern.** | `bundle_data_engineer.md` (§S5 hook + new warning) |
| 2026-07-27 | **SW-1 was not solo.** Swisscom AWS migration was written as "sole technical lead" / "Led migration of legacy stack." Dennis was primary engineer for **his own domains'** pipelines and a contributor to the wider programme. | `experience_swisscom.md` (role line + all 3 bullet variants + overclaiming warning), `config.md` |
| 2026-07-27 | **Security Champion is 2025/2026 only, and is a team role — not an award.** Source files claimed "3 consecutive years (2023/24–2025/26)." User has now corrected this twice. **Default is OMIT** unless the JD explicitly requires security/DevSecOps. | `experience_swisscom.md` SW-5, `achievement_reframing_guide.md`, `skills_taxonomy.md` (3 rows) |
| 2026-07-29 | **Atlassian Compass is the metadata/lineage platform for Swisscom data products** (user-supplied). Previously the KB named no catalogue/lineage product at all, which read as a hard gap against data-governance JDs. Practitioner use only — never claim admin, rollout or ownership. Does NOT license claiming Purview/Collibra/Alation. | `claims.json` (SW-7 scope + skills entry), `experience_swisscom.md` SW-7 |
| 2026-08-02 | **Master's thesis verified against the PDF.** Vibration-based condition monitoring of CNC machine tools; hybrid **rule-based reasoning + 7-10-3 ANN**; throughput/latency evaluation (~500 SPS pipeline vs 72.9 kSPS sensors). **PSO was surveyed but NOT implemented** — an earlier note in this session wrongly listed it as an applied method. No real operational data and no accuracy figures: it is a methods prototype, not a validated system. Also recorded: ECTS relative grade **B (top 35%)**, English-language transcripts exist. | `claims.json` EDU-MENG |
| 2026-08-25 | **Trading-domain evidence was entirely missing from the KB.** `claims.json` had 0 hits for trading, finance or quant, so a genuine capability was unusable in any document. Added **PP-1** (self-built, self-hosted single-user investing/signal platform: US-equity price/fundamental/sentiment ingestion, LLM-assisted sentiment, long-only cross-sectional residual 12-1 momentum book with ATR stop/trail and max 15 names, scheduled scan/backtest pipelines, web dashboard + Telegram alerts) and **PP-2** (Udacity *AI for Trading* nanodegree), plus two `allowed-with-context` skills. Both carry hard `forbidden` lists: **no PnL/Sharpe/return/backtest figure may ever be quoted**, never call PP-1 distributed/production/multi-user, never imply professional quant or finance experience, never present the nanodegree as a quant credential. PP-1 is the one place full-ownership verbs are correct — it is genuinely solo, unlike the employer work governed by Scope Discipline. | `claims.json` (claims PP-1, PP-2; skills "quantitative/systematic trading concepts", "backtesting") |
| 2026-08-02 | **Bosch data types named.** Fab sensor/process data: defect-management records, wafer inspection images, PCM electrical parameters (user-confirmed). Previously the KB named no concrete sensor-data types for Bosch. | `claims.json` BS-2 |
| 2026-07-27 | **Bullet density.** Fixed 1L/2L/3L and character-band rules made bullets uniform and encouraged page filling. | Replaced globally with natural-length, evidence-led bullets; character counts are diagnostic only. |
| 2026-08-25 | **Cadence monoculture across every generated package.** Audit of all 18 packages in `output/` (368 bullets) found **45% used the same "X, Y and Z" triple**; the SBB package hit **85% — 11 of 13 bullets, every Swisscom and Bosch line** — plus two adjacent bullets both opening "Build and…". Not a truth defect: every bullet was accurate and the corpus is clean on AI vocabulary (0 cliché hits in 35 documents) and prose em-dashes (0.08/bullet). It is a *rhythm* tell — uniform three-beat cadence reads as machine-written. PDF metadata is clean (MiKTeX pdfTeX, empty Author/Title, no AI tokens in 69 PDFs, no generator-term leakage). | New `resume_reference.md` §7a + verification step 7; `critical_rules.md` rule 7a; `critique_framework.md` mechanics row now scores cadence (max 1 pt, style only) |
