agentleFS
HHC225HHC225/Japanese-Client-Breaker/CLAUDE.md

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

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
  1. Very specific:

    Place deliverable files in input/ directory (Excel, PDF, PowerPoint, Word, CSV, images, text)

    line 16
  2. Distinctive:

    Ask Claude to analyze:

    line 17
  3. Very specific:

    IMPORTANT: Do NOT use the Skill tool.

    line 26

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
CLAUDE.md

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

  1. Place deliverable files in input/ directory (Excel, PDF, PowerPoint, Word, CSV, images, text)
  2. Ask Claude to analyze:
    Analyze the deliverables in input/ for a high-stakes Japanese enterprise review
  3. The pipeline runs automatically and outputs to _workspace/run_YYYYMMDD_HHMMSS/{TIMESTAMP}_client-defense-report.html
    • A _workspace/latest symlink always points to the most recent run

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 skill

Pipeline

                              ┌→ 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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