Skills Janitor vs Temporal AI
Side-by-side comparison of features, pricing, and ratings
Skills Janitor or Temporal AI: which should you choose?
| Dimension | Skills Janitor | Temporal AI |
|---|---|---|
| Pricing | Free, MIT-licensed | Freemium (paid Cloud tiers) |
| Category | Context-hygiene CLI for Claude Code/Codex skills | Durable execution runtime for AI agents and workflows |
| Install/Run | Plugin marketplace, npx, or git clone (Bash + Python 3 + curl) | SDKs in Go, Java, Python, TypeScript, .NET, PHP, Ruby, Rust |
| Recent milestone | v1.8: project in maintenance mode (2026-09-01) | Serverless Workers for Cloud Run in public preview (2026-10-05) |
| Best fit | Developers trimming skill/MCP context waste | Teams with long-running state that must survive crashes |
Don't shortlist these against each other — they solve different problems. Buy Temporal if you need a runtime that keeps AI agent and workflow state alive across crashes, retries, and abandoned sessions, with Saga compensation and durable timers. Choose Skills Janitor if your pain is a sprawl of Claude Code and Codex skills, duplicates, and MCP servers eating your context — and note it went into maintenance mode in v1.8 now that Claude Code ships /skill-doctor and /doctor natively.

Skills Janitor audits Claude Code and Codex skills, subagents and MCP servers to cut wasted context
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Durable execution platform that keeps AI agents and long-running workflows alive through crashes, retries, and abandoned sessions.
Visit WebsiteWhat do real users say about Skills Janitor vs Temporal AI?
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Skills Janitor
35 mentions across 3 sources · 39% positive — critical (weighted across 3 sources)
YouTube, Product Hunt, Lemmy
What users praise
- • Usage stats drawn from real session transcripts, including auto-triggered skills
- • Dedup uses Jaccard similarity at a 30% threshold to catch overlapping skills
- • Token cost reporting separates always-loaded descriptions from on-demand bodies
- • MCP triage ranks connected-but-never-called servers using actual transcript records
What frustrates them
- • Project is in maintenance mode; no active feature development expected
- • Claude Code's native doctor commands now cover the main trim-context use case
- • Plugin skills and bundled MCP servers are flagged but not individually deletable
- • Little independent evidence outside Product Hunt; Reddit, HN and GitHub returned nothing
Researched Oct 20, 2026
Temporal AI
No verifiable community signal. We scanned public discussion on Nov 7, 2026 and found posts matching the name “Temporal AI”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.
How do Skills Janitor and Temporal AI compare feature by feature?
Temporal's product is a programming model: you write workflow logic in ordinary code, and the service persists state at every step so a crashed worker or abandoned session resumes where it stopped, with no checkpointing code. Activities retry automatically with backoff, four timeout classes, and heartbeating; Signals, Queries, and Updates mutate a running execution mid-flight; Workflow Streams add interactivity. AI-specific work is covered via OpenAI Agents SDK and Google ADK running LLM and tool calls as Activities, plus Serverless Workers for Cloud Run (public preview) and Bedrock AgentCore (pre-release). Saga patterns via compensating transactions handle rollback; durable timers sleep for months. Skills Janitor does none of this. It is a CLI that inventories skills, subagents, and MCP servers across user, project, codex, and plugin scopes, then lets you swipe-delete waste in a TUI sorted heaviest-and-least-used first. It cross-references MCP servers against real session usage, flags duplicate skills via Jaccard similarity above 30%, reports token cost of always-loaded descriptions, and scans for prompt-injection heuristics. It deletes only MCP config entries (leaving .bak backups) and flags plugin-bundled skills for review rather than deleting them. One is production infrastructure; the other is local developer hygiene.
Which is cheaper, Skills Janitor or Temporal AI?
Temporal is freemium: an open-source path plus paid Cloud tiers, with the enterprise-focused features listed as best-fit signals — SAML SSO, audit logging, SOC 2/HIPAA, and an SLA-backed support path. The static facts don't publish plan prices, so budget for a Cloud conversation if you need those controls; self-hosting trades license cost for operational effort. Skills Janitor is free and MIT-licensed, installs via plugin marketplace, npx skills add, or git clone, needs only Bash, Python 3, and curl, runs offline, and collects no telemetry. There is no paid tier and, per v1.8, no roadmap of new features — the project is in maintenance mode. Comparing the two on price is meaningless because the cost structures answer different questions: Temporal asks what a failure of long-running state costs you, while Skills Janitor asks whether token waste in your skill deck is worth five minutes of swiping.
Who should pick Skills Janitor, and who should pick Temporal AI?
- AI agent team shipping long-running runsPick: Temporal AI
Agents must survive crashes, retries, and abandoned sessions; durable state plus retrying Activities is the whole point.
- Platform engineer orchestrating multi-step microservicesPick: Temporal AI
Automatic retries, four timeout classes, and Saga compensation replace hand-rolled recovery code.
- Developer with skill sprawl in Claude Code and CodexPick: Skills Janitor
The swipe TUI plus /janitor-report surfaces duplicates, broken symlinks, and heaviest-least-used skills fast.
- Security-minded dev vetting third-party skillsPick: Skills Janitor
/janitor-discover and the prompt-injection heuristic scan check instruction overrides, zero-width unicode, and base64 before install.
- Claude Code-only user wanting context trimmingPick: Skills Janitor
Still works, but v1.8 notes Claude Code's native /skill-doctor and /doctor now cover the core case, so weigh whether you need the extra audit depth.
Frequently Asked Questions
Skills Janitor vs Temporal AI: which should you choose?
Don't shortlist these against each other — they solve different problems. Buy Temporal if you need a runtime that keeps AI agent and workflow state alive across crashes, retries, and abandoned sessions, with Saga compensation and durable timers. Choose Skills Janitor if your pain is a sprawl of Claude Code and Codex skills, duplicates, and MCP servers eating your context — and note it went into maintenance mode in v1.8 now that Claude Code ships /skill-doctor and /doctor natively.
Can Skills Janitor help me run AI agents reliably?
No. It audits skills, subagents, and MCP server configurations for context waste and duplicates; it does not execute or persist workflows.
Does Temporal manage my Claude Code or Codex skill files?
No. Temporal is a runtime for workflow and agent code in its SDK languages; it does not inventory local skill directories.
What happened to Skills Janitor development?
Per the 2026-09-01 release, v1.8 moved the project into maintenance mode now that Claude Code ships /skill-doctor, /doctor, /doctor prompt-audit, and /skills natively; bug fixes and PRs are still welcome.
Which languages can I write Temporal workflows in?
Go, Java, Python, TypeScript, .NET, PHP, Ruby, and Rust; the Rust SDK reached general availability on 2026-09-23.
Does Skills Janitor delete plugin-bundled skills?
It only flags those for plugin review; deletion coverage is limited to individual skills and MCP server config entries, the latter leaving a timestamped .bak backup.
Is any of this data sent to a server?
Skills Janitor runs offline and collects no telemetry per its description; for Temporal Cloud data handling, review the vendor's terms — the provided facts don't specify.
What else are Skills Janitor and Temporal AI compared with?
These are not substitutes, so there is no either/or decision here. If your pain is "something broke in production and I need errors, traces, logs, replay, and an AI agent to explain and patch it," buy
This is not really a head-to-head — the two products sit in different layers of a stack, and almost nobody with a budget is choosing one over the other. Temporal answers 'how do I keep a multi-day age
These are not competing products and you should not be choosing between them. Temporal is infrastructure: it keeps the code your system runs from losing progress when a worker dies or a session is aba
These aren't competitors — they're different layers of the stack. Temporal is the durability engine you reach for when executions span hours, days, or weeks and must survive crashes, retries, and aban
These aren't competitors, so there's no either/or to recommend. Pick Netlify if you need somewhere to deploy and host a fullstack web app — its Agent Runners, AI Gateway, Serverless Functions, managed
These two aren't competitors — a buyer picking Temporal AI is solving reliability of long-running agent/workflow execution, while a buyer picking lift is solving PDF/document parsing into structured d
Where can you read more about Skills Janitor and Temporal AI?
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Analysis generated by our model pipeline from live data: