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By synaptiai
Structured product development methodology with traceable evidence, explicit decisions, and constrained spec generation. Forces auditability through semantic IDs, quality gates, and impact-aware updates.
npx claudepluginhub synaptiai/synapti-marketplace --plugin context-ledgerMake explicit decisions with trade-offs, alternatives, and evidence citations
Run the complete Context Ledger pipeline end-to-end with a single command.
Initialize a Context Ledger workspace with brief parsing, directory structure, and pillar configuration
Generate implementation plan with backlog, milestones, and test plan constrained by decisions and risks
Launch parallel evidence collection across all active research pillars
Use after all pillar syntheses are complete to identify cross-pillar connections, conflicts, and emergent patterns. Generates CROSS-SYNTHESIS.md and initial decision/risk recommendations.
Use when running the complete Context Ledger pipeline from brief to plan. Orchestrates parallel agent execution and enforces quality gates between phases.
Use when collecting evidence for a specific research pillar. Collects structured evidence objects with semantic IDs, confidence scores, and explicit assumptions. Spawned by /ledger-research.
Use when synthesizing evidence from a completed pillar into structured insights. Identifies patterns, resolves contradictions, and generates synthesis documents with evidence citations.
Use when generating PRD and architecture documents constrained by the decision ledger. Ensures every spec section cites DEC-* references for full traceability.
Use when researching a specific pillar and need to create traceable evidence objects. Guides creation of YAML evidence files with semantic IDs, confidence scores, and assumptions.
Use when generating PRD and architecture documents that must trace back to explicit decisions. Enforces citation requirements so no spec content exists without DEC-* references.
Use when starting a new product development project that needs traceable evidence and explicit decisions. Creates workspace structure from a project brief.
Use when transforming synthesis insights into explicit decisions with documented trade-offs. Guides interactive decision-making and risk identification.
Use when evidence collection is complete for a pillar and need to extract actionable insights. Transforms raw evidence into structured synthesis with patterns and contradictions identified.
Uses power tools
Uses Bash, Write, or Edit tools
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Theory-grounded product-thinking discipline for AI agents. 49 skills, 15 theory gates, six diamond scales (Purpose to Market). Discovery to delivery with evidence gates that block on insufficient evidence.
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Grounded Agency: 36 atomic capabilities across 9 cognitive layers with typed contracts, safety-by-construction, and grounded reasoning for reliable AI agents
NCI (Narrative Credibility Index) manipulation detection with integrated deep research fact-checking. Analyzes content for propaganda, disinformation, and manipulation patterns across 20 categories. Includes claim verification using deep research methodology.
Generic GitHub workflow commands for issue management, PR creation, code review, and releases. Works with any repository by auto-detecting settings.
Skill-driven workflow plugin for GitHub development. Encodes team knowledge as composable skills, enforces safety through hooks, and compounds learning across sessions. Alternative to gh-workflow with autonomous execution and agent team support.
Fourteen opinionated skills that guide founders and leaders through designing, deploying, adopting, and evolving organizations where agents handle coordination and execution while humans own specification and judgment. Diagnose coordination overhead, encode organizational identity, write agent-ready specifications, convert approvals into quality gates, validate gates against hidden holdout scenarios, architect governance ecosystems, redesign roles around value flows, navigate political dynamics, operationalize designs into agent-consumable primers, run post-deployment evolution audits, generate role-specific agent configurations, build per-role AI maturity matrices, design structured adoption sprints, and write human-facing AI usage policies with risk model reasoning.
Agentic harnesses for Claude Code — specialized AI agents for complex analytical tasks
The Synapti Plugin Marketplace is a curated collection of Claude Code plugins designed for advanced analytical and research tasks. Each plugin provides specialized agents, skills, and commands that extend Claude Code's capabilities in specific domains.
claude plugin marketplace add synaptiai/synapti-marketplaceclaude plugin install <plugin-name>/plugin:command syntax| Plugin | Category | Description | Version |
|---|---|---|---|
| Agent Capability Standard ↗ | Standards, Agent Development | Technical specification for AI agents with structural reliability. 36 atomic capabilities across 9 layers with reference workflows and safety-by-construction patterns. | 1.2.0 |
| AI-First Org Design Kit | Organizational Design | Fourteen opinionated skills for designing, deploying, adopting, and evolving AI-first organizations — diagnose coordination overhead, encode organizational identity, write specifications, convert approvals to quality gates, validate gates against hidden holdout scenarios, architect governance, redesign roles, navigate politics, operationalize, run evolution audits, generate agent configs, build maturity matrices, design adoption sprints, and write human-facing AI usage policies. | 1.5.0 |
| Context Ledger | Product Development | Evidence-based product development with traceable decisions, explicit trade-offs, and constrained spec generation. | 1.0.0 |
| Decipon | Content Analysis, Deep Research | Detects manipulation, propaganda, and disinformation patterns using the NCI Protocol. Analyzes content across 20 indicators with fact-checking capabilities. | 1.5.0 |
| Flow | Workflow, Automation | Skill-driven workflow plugin for GitHub development. Composable skills, safety hooks, agent teams, LSP code intelligence, and learning loop. | 1.5.0 |
| gh-workflow | Workflow, Automation | Generic GitHub workflow commands for issue management, PR creation, code review, and releases. Works with any repository by auto-detecting settings. | 1.9.0 |
| I want to... | Use |
|---|---|
| Diagnose where organizational time goes (coordination vs. execution) | AI-First Org Design Kit |
| Encode organizational identity for AI agents | AI-First Org Design Kit |
| Convert approval chains into automated quality gates | AI-First Org Design Kit |
| Design governance ecosystems for agentic operations | AI-First Org Design Kit |
| Navigate political resistance to AI transformation | AI-First Org Design Kit |
| Make org design artifacts work with actual agents | AI-First Org Design Kit |
| Run post-deployment evolution audits on organizational design | AI-First Org Design Kit |
| Generate agent system prompts from role definitions | AI-First Org Design Kit |
| Measure AI adoption across teams with a maturity matrix | AI-First Org Design Kit |
| Design adoption sprints or hackathons | AI-First Org Design Kit |
| Write human-facing AI usage policies with risk reasoning | AI-First Org Design Kit |
| Export organizational design as a single reference document | AI-First Org Design Kit |
| Design agents with formal capability contracts | Agent Capability Standard |
| Validate agent workflows for completeness | Agent Capability Standard |
| Ensure safety-by-construction patterns in agents | Agent Capability Standard |
| Build a product with evidence-backed decisions | Context Ledger /ledger-full |
| Research all aspects of a product idea in parallel | Context Ledger /ledger-research |