By mistakeknot
Multi-agent synthesis engine — collects findings from parallel review/research agents, deduplicates, writes verdicts, produces compact summaries. Keeps agent output out of the host context.
Synthesis agent for multi-agent code reviews — reads agent output files, validates structure, deduplicates findings, writes verdict JSON, produces compact summary report. Use instead of reading agent files directly in the host context.
Synthesis agent for multi-agent research — reads research agent output files, merges findings with source attribution, ranks sources, writes verdicts, produces compact answer. Use instead of reading agent files directly in the host context.
Synthesizes multiple related documents (compound, reflect, research) into categorized docs/solutions/ entries.
Multi-agent synthesis engine for Claude Code.
When interflux dispatches 5 review agents in parallel, each one writes its findings to a file. Without synthesis, the host agent has to read all 5 files: flooding its context with thousands of tokens of agent output. intersynth sits between the parallel agents and the host, reading their output files, deduplicating findings, writing structured verdicts, and returning a compact 10-line summary.
Two specialized synthesis agents handle the different contracts: synthesize-review for code reviews and flux-drive output, synthesize-research for flux-research findings. They're separate because review verdicts have different structure than research findings, and one generic synthesizer would do neither well.
First, add the interagency marketplace (one-time setup):
/plugin marketplace add mistakeknot/interagency-marketplace
Then install the plugin:
/plugin install intersynth
agents/
synthesize-review.md Review output synthesis
synthesize-research.md Research output synthesis
hooks/
lib-verdict.sh Verdict file utilities (write, read, parse, count, clean)
Uses Haiku by default: synthesis is structuring and deduplication, not deep reasoning.
lib-verdict.sh provides the canonical verdict file format: verdict_write, verdict_read, verdict_parse_all, verdict_count_by_status, verdict_get_attention, verdict_clean, verdict_total_tokens. Clavain keeps a backward-compat copy.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub mistakeknot/interagency-marketplace --plugin intersynth[DEPRECATED — use intervox] Analyze your writing style and adapt Claude's output to sound like you. Replaced by intervox (via the interim intervoice), which adds a measured stylometric fingerprint, LLMism linter, and verified closed-loop apply on top of the global multi-register profile.
Self-improving agent rig: codifies product and engineering discipline into composable workflows from brainstorm to ship. Compounds knowledge, generates domain agents, monitors its own docs, and surfaces conservative update drift. Orchestrates Claude, Codex, and Oracle through 6 agents, 57 commands, 20 skills, 0 MCP servers. Factory substrate: CXDB turn DAG, scenario bank with satisfaction scoring, evidence pipeline, agent capability policies. Companions: interspect, interphase, interline, interflux, interpath, interwatch, interslack, interform, intercraft, interdev, interpeer, intertest.
Recursive AGENTS.md generator with integrated Oracle critique, CLAUDE.md harmonization, incremental updates, diff previews, and smart monorepo scoping. Cross-AI compatible.
Token efficiency benchmarking, session analytics, and API-equivalent cost analysis for agent workflows
Multi-agent review and research with scored triage, domain detection, content slicing, intermediate finding sharing, and knowledge injection. 17 agents (12 review + 5 research), 8 commands (incl. flux-melange — a goal-seeking adaptive review loop with lens fusion and novelty/risk/taste scoring), 3 skills (flux-engine, flux-review-engine, flux-melange-engine), 2 MCP servers (exa, openrouter-dispatch). Companion plugin for Clavain.
Run multiple code review agents in parallel for comprehensive feedback
Multi-agent orchestration via li o flow and li o fanout
Multi-agent adversarial review panel — 4-6 AI reviewers debate your code/plans, then a judge delivers a structured verdict with epistemic labels. Bundles plan-review-integrator for applying review findings back into implementation plans.
Multi-agent orchestration for Claude Code. Coordinate teams of agents with shared tasks, messaging, and 7 proven patterns including RLM for large-file analysis beyond context limits.
Multi-agent collaboration plugin for Claude Code. Spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any problem that benefits from diverse solutions. Evaluate by metric or LLM judge, merge the winner. 7 slash commands, agent templates, git DAG orchestration, message board coordination.
Multi-agent deep research plugin with parallel web searches and synthesis