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By synaptiai
Generic GitHub workflow commands for issue management, PR creation, code review, and releases. Works with any repository by auto-detecting settings.
npx claudepluginhub synaptiai/synapti-marketplace --plugin gh-workflowUse after receiving PR review feedback to systematically address comments, verify fixes, and re-request review
Use after making changes to commit with context-aware classification that flags out-of-context modifications before committing
Explore what AI built — loads decision journal, diff, and issue context for interactive Q&A
Use when needing to create a new GitHub issue to gather requirements, check for duplicates, and create solution-agnostic issues
Use after PR is approved to merge with safe defaults, verification checks, and optional branch cleanup
Use proactively after code changes to review for quality, security, edge cases, and error handling. Use when performing self-review before PR creation or during PR review.
Use when validating Git conventions including commit messages, branch naming, PR format, and issue linkage. Use during PR review or before creating a PR.
Use when starting work on a GitHub issue to parse acceptance criteria and create a task breakdown. Use to establish implementation order and track progress.
Use to discover and run project-specific lint, test, and type-check commands. Use after code changes to verify quality gates pass before PR creation or merge.
Discovers available agents, skills, quality commands (lint, test, typecheck), and tech stack in the project environment. Use when starting implementation, creating PRs, reviewing PRs, or addressing feedback to determine which agents to dispatch and which quality commands to run. Use before workflow execution to adapt gh-workflow commands to project-specific tooling.
Generates architecture narratives and requirements adherence reports from diffs, decision journals, and issue context. Use when creating PR bodies that need comprehension reports. Use when validating that implementation meets acceptance criteria or when humans need to understand what AI built and why.
Extracts and structures development decisions from diffs, manages decision journal entries, and detects human gate triggers. Use when logging decisions during gh-start, gh-commit, or gh-address. Use when summarizing decisions for PR bodies or when checking for gate-triggering changes like new dependencies, security modifications, or scope deviations.
Detect, classify, and resolve git merge conflicts through structured analysis of conflict markers, per-file strategy selection, and post-resolution verification. Use when a branch has conflicts with its merge target, when rebasing onto an updated base, or when gh-merge detects an unmergeable PR.
Provides dynamic repository configuration patterns for gh-workflow agents. Use when an agent needs the default branch name for diffs, the repository owner/name for API calls, or branch naming and commit conventions for validation.
Uses power tools
Uses Bash, Write, or Edit tools
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
AI-Driven Engineering workflow commands for managing issues, tasks, implementation, and PRs.
Implementation planning, execution, and PR creation workflows with multi-agent collaboration
Structured agentic development methodology - from issue analysis to merge
Corca Workflow Framework — consolidated hooks and skill orchestration for structured development sessions
GitHub issue triage, creation, and management
Autonomous GitHub Project Management workflow with orchestrator-agent coordination for parallel task execution via git worktrees
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.
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.
Structured product development methodology with traceable evidence, explicit decisions, and constrained spec generation. Forces auditability through semantic IDs, quality gates, and impact-aware updates.
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 |