claude

ai-methodology

AI-assisted development methodology — scaffolding skills, talk pipeline (6 stages), landing page generator, context engineering, and design templates

45 on GitHubby Florian Bruniauxv1.2.0MITupdated 8 days agomethodology
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Plugin ai-methodology from marketplace florian-claude-tools in FlorianBruniaux/claude-code-plugins. Commands read from the repo's manifest — 6 days ago.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (19)

  • audit-agents-skills

    Audit Claude Code agents, skills, and commands for quality and production readiness. Use when evaluating skill quality, checking production readiness scores, or comparing agents against best-practice templates.

  • audit-codebase

    Codebase health audit scoring 7 categories with progression plan

  • autoresearch

    Autonomous improvement loop: scan codebase metrics, scaffold experiment files, run agent-driven iterations until metric improves

  • eval-agents

    Audit custom subagent definitions for Claude Code (.claude/agents/*.md) and Codex (.codex/agents/*.toml): loadability against the native schema, description overlap, model tier, tool scope, and headless-safe instructions. Use when onboarding to a project with agents, after adding or importing agents

  • eval-hooks

    Audit Claude Code and Codex hooks for validity, safety, and correctness across settings.json, hooks.json, config.toml, plugin, and skill or agent frontmatter hooks. Resolves each command, checks event names, handler types, matchers, exit-code and JSON decision strategy, and timeouts against each hos

  • git-ai-archaeology

    Git-history archaeology of a repository's AI coding harness (Copilot, Claude Code, Codex, Cursor, MCP, skills, agents, hooks). Use to date when each AI config appeared, trace how it spread, churned or was abandoned across modules, measure AI-assisted commits over time, or derive maturity phases. Not

  • landing-page-generator

    Generate complete, deploy-ready landing pages from any repository. Use when creating a homepage for an open-source project, building a project website, converting a README into a marketing page, or standardizing landing pages across multiple repos.

  • methodology-advisor

    Analyzes your codebase and asks 3 targeted questions to recommend the right AI-assisted development methodology stack

  • routines-discover

    Analyzes the current project to surface high-value Routines use cases across the three trigger types (schedule, API, GitHub events). Usage: /routines-discover

  • rtk-optimizer

    Wrap high-verbosity shell commands with RTK to reduce token consumption. Use when running git log, git diff, cargo test, pytest, or other verbose CLI output that wastes context window tokens.

  • scaffold

    Interactive coach that asks 4-5 questions to determine whether you need an agent, command, skill, hook, or rule, then generates a ready-to-use template. Usage: /scaffold (no arguments needed, starts the coaching session)

  • skill-creator

    Scaffold a new Claude Code skill with SKILL.md, frontmatter, and bundled resources. Use when creating a custom skill, standardizing skill structure across a team, or packaging a skill for distribution.

  • talk-pipeline

    Orchestrates the complete talk preparation pipeline from raw material to revision sheets, running 6 stages in sequence with human-in-the-loop checkpoints for REX or Concept mode talks. Use when starting a new talk pipeline, resuming a pipeline from a specific stage, or running the full end-to-end pr

  • talk-stage1-extract

    Extracts and structures source material (articles, transcripts, notes) into a talk summary with narrative arc, themes, metrics, and gaps. Auto-detects REX vs Concept type. Use when starting a new talk from any source material or auditing existing material before committing to a talk.

  • talk-stage2-research

    Performs git archaeology, changelog analysis, and builds a verified factual timeline by cross-referencing git history with source material. REX mode only (skipped automatically in Concept mode). Use when building a REX talk and you need verified commit metrics, release timelines, and contributor dat

  • talk-stage3-concepts

    Builds a numbered, categorized concept catalogue from the talk summary and timeline, scoring each concept HIGH / MEDIUM / LOW for talk potential with optional repo enrichment. Use when you need a structured inventory of concepts before choosing a talk angle, or when assessing which ideas have the st

  • talk-stage4-position

    Generates 3-4 strategic talk angles with strength/weakness analysis, title options, CFP descriptions, and a peer feedback draft, then enforces a mandatory CHECKPOINT for user confirmation before scripting. Use when deciding how to frame a talk, preparing a CFP submission, or choosing between multipl

  • talk-stage5-script

    Produces a complete 5-act pitch with speaker notes, a slide-by-slide specification, and a ready-to-paste Kimi prompt for AI slide generation. Requires validated angle and title from Stage 4. Use when you have a confirmed talk angle and need the full script, slide spec, and AI-generated presentation

  • talk-stage6-revision

    Produces revision sheets with quick navigation by act, a master concept-to-URL table, Q&A cheat-sheet with 6-10 anticipated questions, glossary, and external resources list. Use when preparing for a talk with Q&A, creating shareable reference material for attendees, or building a safety-net glossary

Subagents (2)

  • adr-writer

    Architecture Decision Record generator agent — read-only. Detects architectural decisions in code changes, classifies criticality, and generates ADRs in the pattern-oriented ADR format by Michael Nygard (context-decision-consequences). Never modifies code. Use after significant changes or when a dec

  • report-template

    Monthly evaluation template for scoring analytics agent performance and accuracy

Hooks (1)

  • PostToolUse

    bash "${CLAUDE_PLUGIN_ROOT}/hooks/bash/learning-capture.sh"

View source on GitHub

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