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CAPH TECH

Official

@caphtech · Japan

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24Public Repos
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53Published Skills

Offers rigorous Evidence-Loop Development frameworks for technical governance, requirement traceability, and systematic failure-mode observation in complex software engineering environments.

Skills Distribution
DomainDeveloper To...Software Governanc.. (40%)Requirement Tracea.. (30%)Failure-Mode Obser.. (30%)

Agent Skills by CAPH TECH

Showing 53 vetted skills indexed across 1 GitHub repositories.

CAPHTECHCAPHTECH
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uncertainty-to-law

Convert validated hypotheses into enforceable laws with structured Law Card drafts.

Official
Advanced
CAPHTECHCAPHTECH
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eld

Enforce an Evidence-Loop Development workflow with Sense/Model/Predict/Change/Ground/Record phases.

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Advanced
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eld-sense-scope

Define context inheritance boundaries between nested parent and child processes.

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Advanced
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eld-ground-check

Verify Law and Term grounding against S0–S3 verification and observability criteria.

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Advanced
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spec-observation

Identify specification ambiguities and formalize acceptance criteria in Given/When/Then format.

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Advanced
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lde-model-law-card

Create Law Cards documenting business conditions in a standard format.

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Advanced
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eld-model-link-map

Manage Law-to-Term cross-reference links and detect orphaned artifacts.

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Advanced
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eld-ground-evaluate

Evaluate generated code outputs for Law compliance and quality.

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Advanced
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eld-sense-activation

Construct an optimized active_context YAML with goal, constraints, references, and expected_output.

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Advanced
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eld-ground-pr-review

Automate PR reviews with Compile-Execute-Capture flow and LDE compliance checks.

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Advanced
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eld-record-compact

Compress long-running session histories into compact, searchable notes with decision traces.

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Advanced
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lde-model-term-card

Create standardized Term Cards for LDE domain vocabulary.

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Advanced
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knowledge-validator

Validate knowledge integrity across documents using pce-memory and shirushi.

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eld-model-law-discovery

Discover vocabulary terms and law constraints from codebases and requirements.

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Advanced
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eld-record-memory-collector

Collect and verify project information from codebases using multi-model validation.

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Advanced
CAPHTECHCAPHTECH
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observation-minimum-set

Define a minimal set of diagnostic and verification practices covering six failure modes.

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Advanced
CAPHTECHCAPHTECH
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concurrency-observation

Detect data races, deadlocks, and timing-dependent bugs in concurrent programs.

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operability-observation

Implement structured logging, health checks, metrics, and configuration validation.

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Advanced
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security-observation

Identify security defects in generated code to prevent data leakage and injection attacks.

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Advanced
CAPHTECHCAPHTECH
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technical-book-writer

Standardize technical book writing with chapter templates and code validation scripts.

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Advanced
CAPHTECHCAPHTECH
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app-idea-workshop

Guide ideation through structured interviews and generate product documentation.

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CAPHTECHCAPHTECH
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boundary-observation

Test boundary conditions across input space to reveal edge-case defects.

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Advanced
CAPHTECHCAPHTECH
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dependency-observation

Detect dependency misalignment between lockfiles and installed dependencies.

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Advanced
CAPHTECHCAPHTECH
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refactoring-executor

Execute prioritized refactoring steps with test-first verification in TypeScript projects.

Official
Advanced

Frequently Asked Questions About CAPH TECH

FAQPage Schema
What specific engineering tasks are enabled by these methodologies?

These methodologies enable structured project decomposition, automated pull request reviews, and rigorous validation of code against business invariants. They facilitate the creation of Evidence Packs, Law Cards, and Term Cards to ensure consistency across documentation, requirements, and implementation artifacts.

Which personas benefit most from these technical practices?

Senior software engineers, technical architects, and compliance officers benefit from these practices. They are designed for teams managing high-complexity codebases who require strict traceability, formal acceptance criteria, and systematic observation of failure modes to maintain system integrity.

What are the primary prerequisites for implementing these practices?

Implementation requires a commitment to the Evidence-Loop Development discipline, which involves defining clear context boundaries and maintaining structured project memory. Users must adopt the provided YAML and Markdown schemas for Law Cards, Term Cards, and active context definitions to ensure compatibility.