Japanese-Client-Breaker
CLAUDE.md2 starsChanged 7 months agoMITView on GitHub
Japanese-Client-Breaker is a defense harness for high-stakes Japanese enterprise reviews, where approval risk, indirect objections, and internal justification matter. It analyzes deliverables, finds weaknesses from a Japanese enterprise review perspective, builds multi-level persuasion scenarios, validates them through Big 5 consulting firm QA, and outputs an interactive HTML report. IMPORTANT: Do NOT use the Skill tool. This pipeline runs via the Agent tool with subagent_type: "orchestrator": This is the ONLY correct way to invoke the pipeline. The orchestrator agent reads its…
- Pipes a download into a shell
In this repository10 other files it gives its agents.
- jp-client-defenderSkill
- file-preprocessingSkill
- deliverable-analysisSkill
- gap-analysisSkill
- decision-analysisSkill
- jp-client-critiqueSkill
- persuasion-scenariosSkill
- consulting-qaSkill
- html-report-generationSkill
- quality-gateSkill
The file
We split this CLAUDE.md into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 16
Place deliverable files in input/ directory (Excel, PDF, PowerPoint, Word, CSV, images, text)
- Distinctive: line 17
Ask Claude to analyze:
- Very specific: line 26
IMPORTANT: Do NOT use the Skill tool.
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Japanese-Client-Breaker
Japanese-Client-Breaker is a defense harness for high-stakes Japanese enterprise reviews, where approval risk, indirect objections, and internal justification matter. It analyzes deliverables, finds weaknesses from a Japanese enterprise review perspective, builds multi-level persuasion scenarios, validates them through Big 5 consulting firm QA, and outputs an interactive HTML report.
Prerequisites
- Python 3.10+ — required for the file preprocessing script
- uv — auto-installed on first run. If auto-install fails, install manually:
curl -LsSf https://astral.sh/uv/install.sh | sh - Internet connection — needed for uv dependency resolution on first run and Google Fonts in the HTML report (falls back to system fonts if offline)
Usage
- Place deliverable files in
input/directory (Excel, PDF, PowerPoint, Word, CSV, images, text) - Ask Claude to analyze:
Analyze the deliverables in input/ for a high-stakes Japanese enterprise review - The pipeline runs automatically and outputs to
_workspace/run_YYYYMMDD_HHMMSS/{TIMESTAMP}_client-defense-report.html- A
_workspace/latestsymlink always points to the most recent run
- A
How to Run the Pipeline
IMPORTANT: Do NOT use the Skill tool. This pipeline runs via the Agent tool with subagent_type: "orchestrator":
Agent(
description: "Run JP Client Defender pipeline",
subagent_type: "orchestrator",
prompt: "You are the JP Client Defender Orchestrator. Read your agent definition at .claude/agents/00_orchestrator.md and follow the instructions there. The user wants to analyze the deliverables in input/ directory. [include any user context/instructions here]"
)This is the ONLY correct way to invoke the pipeline. The orchestrator agent reads its own skill file and spawns all sub-agents sequentially.
Project Structure
input/ ← Put deliverable files here
_workspace/ ← Generated during analysis
run_YYYYMMDD_HHMMSS/ ← Timestamped run directory (intermediate + final report)
latest/ ← Symlink to most recent run
.claude/
agents/
00_orchestrator.md ← Pipeline controller (opus)
01_file-preprocessor.md ← Excel/PDF/PPT → Markdown (sonnet)
02_deliverable-analyst.md ← Item extraction (sonnet)
03_gap-analyzer.md ← Missing element detection (opus) [parallel with 02]
04_decision-advisor.md ← Undecided item analysis (opus) [parallel with 02]
05_jp-client-critic.md ← JP client critique (opus)
06_persuasion-strategist.md ← 3-level argument trees (opus)
07_consulting-qa.md ← Big 5 QA for user display (opus)
08_report-generator.md ← HTML report generation (sonnet)
09_quality-gate.md ← Internal consultant QA per phase (opus)
skills/
00_jp-client-defender/ ← Orchestrator skill (entry point)
01_file-preprocessing/ ← Preprocessing skill + scripts
02_deliverable-analysis/
03_gap-analysis/ ← Gap detection skill
04_decision-analysis/ ← Undecided item analysis skill
05_jp-client-critique/ ← + references/jp-banking-client-patterns.md
06_persuasion-scenarios/ ← + references/argument-tree-patterns.md
07_consulting-qa/ ← + references/big5-consulting-methods.md
08_html-report-generation/ ← + assets/report-template.html + scripts/validate-report.js
09_quality-gate/ ← Internal QA skillPipeline
┌→ Analyst(sonnet) ─┐
input/ → Preprocessor(sonnet) ─┤→ Gap Analyzer(opus) ├→ QG ─→ Critic(opus) → QG ─→ Strategist(opus) → QG ─→ Big5 QA(opus) → Report(sonnet)
└→ Decision Advisor(opus) ─┘
(all three parallel) (QG = Quality Gate per phase)- Analyst (02): extracts what IS in the deliverable
- Gap Analyzer (03): identifies what is MISSING (parallel with Analyst)
- Decision Advisor (04): analyzes 要検討/未確定 items → option analysis + recommendations (parallel with Analyst)
- Quality Gate (09): internal consultant QA after each phase — validates analytical direction, premise correctness, logical consistency. REVISE verdict triggers re-run (max 1 retry)
- Critic (05): receives all three Phase 1 results. Tags undecided items as UNDECIDED severity, incorporates gaps as findings
- Strategist (06): builds 3-level defense argument trees with Japanese business phrasing
- Big 5 QA (07): evaluates final defense through Accenture/McKinsey/BCG/Bain/Deloitte lenses — for user display in report
- Report Generator (08): compiles everything into interactive HTML report
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Now do this for your own.
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