By jeremybrice
Multi-agent report generation with 8 report types. Orchestrates investigator, analyst, and synthesizer agents via forge-lib.
Generate a new report through agent-based investigation. Spawns investigator, analyst, and synthesizer agents sequentially to research a topic and produce a structured markdown report.
List and filter existing reports. Browse reports by type, category, status, or date range using forge-lib queries.
Update an existing report with new findings. Re-runs investigation agents with additional context and updates the report via forge-lib.
Analysis agent for Report Forge. Interprets findings from the Investigator, identifies patterns and anomalies, assesses risks and opportunities, and provides context. The analytical force that transforms raw data into insights.
Primary research agent for Report Forge. Gathers data, examines codebases, collects metrics, and assembles raw findings without interpretation. The investigative force that establishes the factual foundation for all reports.
Assembly agent for Report Forge. Receives findings from Investigator and Analyst, selects appropriate template, and assembles the final narrative report. The synthesizing force that transforms raw data and insights into actionable documentation.
Uses power tools
Uses Bash, Write, or Edit tools
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AI-native product management for Claude Code
Manage products, track tasks, capture knowledge, debate decisions, generate reports, and configure Atlassian agents — all from your terminal.
The Forge is a suite of 8 Claude Code plugins backed by a shared Python data layer and a Tauri desktop app for visual dashboards. It brings structured product management into your AI coding workflow — no context switching, no separate tools.
Plugins handle conversation and workflow. A deterministic Python CLI (forge-lib) handles all file operations, validation, and indexing. Forge Shell gives you a desktop GUI to browse everything the plugins create.

| Plugin | What it does | |
|---|---|---|
| Product Forge | Initiatives, epics, stories — full product hierarchy with auto-linked relationships | |
| Tasks Forge | Sequential task tracking with status workflow and priority management | |
| Cognitive Forge | Multi-agent debates and explorations with 5 specialized reasoning agents | |
| Forge Memory | Organizational knowledge with taxonomy — products, modules, teams, integrations | |
| Report Forge | 8 report types generated via multi-agent orchestration | |
| Rovo Forge | Interactive builders for Atlassian Rovo Jira & Confluence agents | |
| Slack Forge | Channel intelligence harvester — surfaces tasks, knowledge, and JIRA activity | |
| Outlook Forge | Outlook intelligence harvester — surfaces tasks, knowledge, and meeting context |
graph TB
subgraph CC ["Claude Code"]
A["LLM Reasoning Layer"]
end
A --> B["Plugin Commands · 80–100 lines each"]
subgraph PL ["Plugins"]
direction LR
subgraph col1 [" "]
C1["Product Forge"]
C2["Tasks Forge"]
C3["Cognitive Forge"]
C4["Forge Memory"]
end
subgraph col2 [" "]
C5["Report Forge"]
C6["Rovo Forge"]
C7["Slack Forge"]
C8["Outlook Forge"]
end
end
B --> PL
subgraph FL ["forge-lib · Python CLI"]
D["forge.py"] --> E1["Validation"] & E2["Templates"] & E3["Indexing"] & E4["Relationships"]
end
PL --> FL
FL --> F["cards/ · tasks/ · sessions/ · memory/ · reports/"]
G["Forge Shell · Tauri Desktop App"] -.->|reads| F
Key design principle: LLM handles conversation, Python handles data. Commands dropped from 250–300 lines (v1) to 80–100 lines (v2) by delegating all file operations, validation, and templating to forge-lib.
A Tauri desktop app that gives you visual dashboards for everything the plugins create.
npx claudepluginhub jeremybrice/the-forge --plugin report-forgeOrganizational memory and taxonomy management with tiered lookup. Enables shorthand decoding, taxonomy queries, and knowledge storage via forge-lib.
Interactive builder for Atlassian Rovo agents. Guides through Jira and Confluence agent creation with copy-ready Rovo Studio configurations.
Slack intelligence harvester — scans channels for tasks, knowledge, and JIRA activity. Creates review-first harvest records. Delegates all file operations to forge-lib.
Multi-agent concept evaluation through structured debate and interactive exploration. Spawns specialized agents for parallel reasoning.
Task management with sequential numbering, status workflows, and index-based queries. Delegates all file operations to forge-lib.
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
Curate auto-memory, promote learnings to CLAUDE.md and rules, extract proven patterns into reusable skills.