By synaptiai
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.
Address PR review feedback systematically. Categorizes feedback, implements surgical fixes, verifies changes, and re-requests review.
Explore approaches before committing to implementation. Generates options, analyzes trade-offs, and helps select the best approach collaboratively.
Classify changes and create atomic commits with conventional messages. Flags out-of-context modifications and red-flag patterns before committing.
Debug an issue with structured root cause analysis. Guides evidence gathering, hypothesis testing, and fix validation.
Design or review architecture for a feature or system. Analyzes existing patterns, evaluates coupling, and produces design decisions.
Review code changes for quality, logic correctness, edge cases, security, and error handling. Return P1/P2/P3 findings with file:line citations using the ASSERTION/EVIDENCE/VERIFIED pattern.
Validate Git conventions including commit messages, branch naming, PR format, and code patterns. Report convention violations with severity.
Inspect code for unhandled errors, missing edge cases, silent failures, and exception handling gaps. Return P1/P2/P3 findings with file:line citations.
Parse acceptance criteria from issues and create task breakdowns with dependencies and parallel execution opportunities. Use when decomposing an issue into trackable implementation tasks.
Verify end-to-end functionality beyond unit tests. Start dev servers, run E2E suites, perform smoke tests, and validate acceptance criteria at runtime.
Guide system design decisions including design-from-functionality, coupling analysis, and C4 model thinking. Use when designing systems, evaluating structural changes, or reviewing architecture decisions.
Govern autonomous development execution through the Explore-Plan-Code-Verify loop, task-driven progress tracking, three-tier action classification, decision journaling, and bounded verification. Use when executing any development workflow autonomously or orchestrating multi-step implementation tasks.
Explore multiple approaches through structured option generation, trade-off analysis, and collaborative approach selection. Use when evaluating alternatives before committing to an implementation strategy.
Create branches with naming conventions, load issue context, perform impact analysis, and decompose acceptance criteria into parallel tasks. Use when starting work on a GitHub issue.
Discover available agents, skills, quality commands (lint, test, typecheck), tech stack, and LSP code intelligence capabilities 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.
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
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 |
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.
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.
npx claudepluginhub synaptiai/synapti-marketplace --plugin flowCorca Workflow Framework — consolidated hooks and skill orchestration for structured development sessions
Skills for AI-native development. /assess scores a codebase's readiness for AI agent contributors (0-8 layered contract model) and generates a Codecov-style complexity hotspot SVG plus a colour-blind-safe doc-navigability graph. /huddle runs structured multi-perspective deliberation using Six Thinking Hats with Fibonacci team sizing. /deslop detects and removes the telltale signs of AI writing from prose. /ghsync bulk-clones and keeps in sync every GitHub repo you can access across an org or personal account, for onboarding into a new enterprise. /ghreport is its read-only companion: it reuses ghsync's repo discovery to query each repo's remote state (open PRs, CI on the default branch, security alerts, branch protection) and rolls it into a terminal summary plus a timestamped markdown report of what state an org's repos are in. /skill-forge hardens a skill through judge-panel refinement rounds until it clears a 3-tier promotion gate - a prove-and-promote quality gate that ran on itself. /semantic-compress optimizes an LLM-directed document while preserving what it does, with two transforms gated on the ab-equivalence A/B harness: compress (a local core->pointer pass and an A/B-validated distill loop that produces the smallest behaviourally-equivalent version of a whole document or skill) and directive-clarity (rewrites latent-action instructions - bare negations, facts-not-actions, vague pointers - into directives that name the action, validated by a measured directness gain at zero regression). Also bundles personal workflow commands: /tm (Task Master orchestration), /issues (GitHub-issue marathon - triage open issues then run agent-ready ones to merge with Agent Teams), /fix-pr and /fix-develop (autonomous PR/branch fix loops). /tm, /issues, /fix-pr, and /fix-develop share the marathon and pr-review-merge skills for team orchestration and PR review/merge.
GLaDOS — agentic development framework with structured workflows, modules, and personas
Composable workflow skills, agents, and hooks for Claude Code
GitHub workflow skills, including systematic issue triage and GitHub OSS README creation, improvement, and review.
Personal Claude Code + Codex dev stack: security hooks, AI-first code conventions, /security-review, /repo-map, /stack-check, portable statusline. Designed to complement other skills-based plugins, not replace them.