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dennisthiessen dd2f0308c5 feat(resume): Snowflake Sr SWE Enterprise (Observe) package (sent, ~86/100)
Observability-spine framing: Bosch telemetry/observability PoC promoted to
lead, Swisscom Iceberg lakehouse + on-call/RCA. Real Ashby JD (verbatim).
Tier 1+2 critique fixes applied; Vizrt low-latency skipped per user.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-06 20:44:30 +02:00

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# 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/
├── 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 # 8-part critique system
├── templates/ # LaTeX .cls + .tex templates
├── helpers/ # char_count.py
├── 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**
---
## 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
- **"Make B a 2L"** — override default variant
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$` for "approximately."
For char counting: `\ce{TiO2}` → 4 rendered chars, `$\beta$` → 1 rendered char.
---
## Active Sessions
_Update this section when starting/finishing a JD._
| Session | Status | Next Command |
|---------|--------|-------------|
| Snowflake — Sr SWE, Enterprise (Observe by Snowflake), Zürich | **SENT 2026-06-06** (~86/100; 2pp resume + 1pp CL; real Ashby JD; comp CHF 176253k base; NO C++ gate). Tier 1+2 applied; Vizrt low-latency skipped per user. Best-fit role in the 2026-06 search | Done — await response |
| 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 AI Architect (Norway) | **SENT** (~80/100) | Done — await response |
| QuantCo Cloud Engineer (Europe/Zürich) | **SENT 2026-06-01** (~82/100, finalized PDFs) | Done — await response |
---
## KB Corrections Log
_See `config.md` for user-specific corrections. Add verified errors here as you find them._