Commit Graph
4 Commits
Author SHA1 Message Date
dennisthiessenandClaude Opus 5 92a81a7dcb feat(resume): check bullet cadence variety, warn-only
An audit of all 18 packages in output/ (368 bullets) found one rhythm
running through every document: 45% of bullets used the same "X, Y and
Z" triple, and the SBB package reached 85% - 11 of 13 bullets, every
Swisscom and Bosch line - plus two adjacent bullets both opening
"Build and...".

This is a style finding, not a truth finding. Every bullet was accurate.
The corpus is clean on the axes that actually signal generated text: no
AI vocabulary (0 hits for leverage/spearheaded/robust/passionate and 56
others across 35 documents), prose em-dashes at 0.08/bullet, and PDF
metadata carrying nothing but MiKTeX pdfTeX with empty Author/Title
(0 AI tokens and 0 generator-term leaks across 69 PDFs). What is left is
cadence: ten bullets sharing one three-beat rhythm read as machine-made
even when nothing in them is false.

Guarded deliberately so it cannot do harm. cadence_checks() emits WARN
and never ERROR, the critique deduction caps at 1 point, and both the
reference and the docstring state that no claim, scope or hedged verb
may be bent to satisfy rhythm. An anti-monotony rule with teeth would be
worse than the problem - it would pressure a future run into loosening a
scoped claim to vary a sentence.

Thresholds are calibrated on the corpus, not guessed. Position length
spreads are bimodal (1-9 words, then 15-17), so the check flags a spread
of <=4, the tight tail at ~28% of positions; the first draft used <=6
and flagged the median. Also fixed the opening-verb extractor, which
read \textbf{Owned ...} as the word "textbf" and produced six false
positives on one document. Per-package warnings now run 0-3.

Docs: resume_reference.md 7a + verification step, critical_rules.md 7a,
critique_framework.md mechanics row, CLAUDE.md corrections log.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MHtzyTKBcg6BWhD5qFegtK
2026-08-25 09:38:19 +02:00
dennisthiessen fe5f24704f feat: rebuild evidence-first application workflow 2026-07-27 17:56:15 +02:00
Akhil Reddy Peeketi 9a7c627cc3 feat: add AI fingerprint avoidance rules and fix em-dash patterns
- Add ai_fingerprint_rules.md with banned words, structural rules, and
  12-item post-gen checklist
- Fix Fellowships/Honors template format: --- to period separator
- Fix Publications under-review template format
- Update all 4 skills to load fingerprint rules during generation
- Add AI scan section to critique framework
- Update resume_reference and cl_reference with em-dash limits
- Reduce em-dashes in example files

Co-Authored-By: Akhil Peeketi <peeketiakhilreddy@gmail.com>
2026-03-09 05:08:57 -06:00
Akhil Reddy Peeketi c51b49882f Initial release — claude-resume-kit v1.0
Complete AI-assisted resume/CV generation framework:
- 6 Claude Code skills (setup-extract, setup-build-kb, make-resume, make-cl, edit-resume, critique)
- LaTeX templates (resume, CV, cover letter) with .cls class files
- 6 reference docs (shared_ops, resume_reference, cl_reference, critical_rules, session_file_template, critique_framework)
- Fictional Dr. Jordan Chen examples (extraction, experience, bundle, config, session, JD)
- Knowledge base scaffolding and config template
- README with setup guide and workflow documentation
2026-03-09 02:42:10 -06:00