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Rank #2 of 5 in Agent Skills & Extensions

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Superpowers

Open Source Built-in AI assistant

Prime Radiant (Jesse Vincent)

286.3k308.1k/yr +3.9k

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Install

cli/plugin install superpowers@claude-plugins-official
npmnpx skills add obra/superpowers

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Showcase

Superpowers homepage screenshot
homepage · captured Sep 2026 · view live ↗

Try itExperimental

See what an agent can do with Superpowers before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).

$npx -y skills add obra/superpowers --skill test-driven-development -a claude-code -y --copy # in a scratch dir, then print installed SKILL.md frontmatterrecorded session — replayed, not live
recorded 2026-09-06 · exit 0 · captured verbatim by our probe harness, secrets redacted

Verified integrations

Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.

By theme — the product's score on each story themeBy theme

Agent workflows — stories about agent workflows in this arenaAgent workflowsevidence →

Stories about agent workflows in this arena

32.0/100

Agenticness — how well agents can access and operate the productAgenticnessevidence →

How well agents can access and operate the product

20.4/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

30.0/100

Cross agent portability — stories about cross agent portability in this arenaCross agent portabilityevidence →

Stories about cross agent portability in this arena

80.0/100

Discovery distribution — stories about discovery distribution in this arenaDiscovery distributionevidence →

Stories about discovery distribution in this arena

63.1/100

Docs onboarding — stories about docs onboarding in this arenaDocs onboardingevidence →

Stories about docs onboarding in this arena

38.4/100

Install experience — stories about install experience in this arenaInstall experienceevidence →

Stories about install experience in this arena

30.0/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

24.0/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

0.0/100

Safety review — stories about safety review in this arenaSafety reviewevidence →

Stories about safety review in this arena

18.0/100

Skill authoring — stories about skill authoring in this arenaSkill authoringevidence →

Stories about skill authoring in this arena

53.1/100

Testing quality — stories about testing quality in this arenaTesting qualityevidence →

Stories about testing quality in this arena

55.0/100

Versioning updates — stories about versioning updates in this arenaVersioning updatesevidence →

Stories about versioning updates in this arena

35.6/100

Story verdicts — every judged story with its evidenceStory verdicts

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Sorted by importance (agentic first) (high → low) · 52/52 stories · click a row’s chevron for the rationale and evidence

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3partial6/10X

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3n/a0/10

Connect an agent via an official MCP server G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3noneuntestednone yet

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3noneuntestednone yet

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10X

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial5/10T

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial5/10C

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial3/10C

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/a0/10

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1partial4/10C

Install a skill collection with one documented command — a package-manager one-liner, CLI, or in-agent marketplace command — and it is active in my next session C

Install

developerInstall experience — stories about install experience in this arenaInstall experience3full8/10X

Install the same collection into multiple different coding agents — Claude Code, Codex, Cursor, and others — with per-harness instructions C

Portability

developerCross agent portability — stories about cross agent portability in this arenaCross agent portability3full8/10X

Installed skills trigger automatically from task context, with descriptions engineered so the agent activates the right skill at the right moment C

Triggering

developerDiscovery distribution — stories about discovery distribution in this arenaDiscovery distribution3full7/10X

A quickstart takes me from nothing to a working installed skill in under five minutes C

Onboarding

developerDocs onboarding — stories about docs onboarding in this arenaDocs onboarding3partial6/10X

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3partial6/10C

There is a documented update path — marketplace auto-updates or an explicit update command — so I get fixes without reinstalling from scratch C

Updates

developerVersioning updates — stories about versioning updates in this arenaVersioning updates3partial6/10C

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3partial5/10C

Review exactly what instructions and scripts a skill will add — list contents before installing and read every file afterward C

Review

engineering-leadSafety review — stories about safety review in this arenaSafety review3partial5/10X

Author a new skill from a documented template — a SKILL.md with name and description frontmatter — without reverse-engineering existing skills C

Authoring

developerSkill authoring — stories about skill authoring in this arenaSkill authoring3partial4/10C

My coding agent can install a skill by itself — a non-interactive, promptless install path an agent can run headlessly end to end C

Agent ops

ai-native userAgent workflows — stories about agent workflows in this arenaAgent workflows3none0/10

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3n/auntestednone yet

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3n/auntestednone yet

Distribute a standard skill set to my whole team — via a marketplace, a shared repo, or files committed to the project C

Distribution

engineering-leadDiscovery distribution — stories about discovery distribution in this arenaDiscovery distribution2full8/10X

My agent can author and package a new skill end to end by following the project's own spec, template, or meta-skill C

Agent ops

ai-native userAgent workflows — stories about agent workflows in this arenaAgent workflows2full8/10X

Skills are plain markdown files and folders I can read, copy, and carry to another harness — not a proprietary binary format C

Portability

developerCross agent portability — stories about cross agent portability in this arenaCross agent portability2full8/10C

Skills follow the open Agent Skills specification so the same skill folder is valid beyond this one vendor's tooling C

Spec

developerSkill authoring — stories about skill authoring in this arenaSkill authoring2full8/10C

The collection maintains tests or evals for its skills so changes are verified against regressions rather than shipped on vibes C

Testing

developerTesting quality — stories about testing quality in this arenaTesting quality2full8/10C

Every skill documents what it does and when it activates, so I can predict my agent's new behavior before it surprises me C

Onboarding

developerDocs onboarding — stories about docs onboarding in this arenaDocs onboarding2partial7/10X

The collection ships a meta-skill or tool that guides my agent through writing, improving, and packaging new skills C

Authoring

developerSkill authoring — stories about skill authoring in this arenaSkill authoring2full7/10C

Browse or search a catalog of available skills — a registry, leaderboard, or marketplace listing — before installing anything C

Discovery

developerDiscovery distribution — stories about discovery distribution in this arenaDiscovery distribution2partial6/10C

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial5/10C

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2partial5/10T

The collection is actively maintained — recent releases, triaged issues, and accepted community contributions C

Maintenance

developerTesting quality — stories about testing quality in this arenaTesting quality2partial5/10X

Choose install scope — project-local files committed with my repo, or user-global across all projects C

Install

developerInstall experience — stories about install experience in this arenaInstall experience2none0/10

Install only the specific skills I want from a collection instead of taking the whole bundle C

Install

developerInstall experience — stories about install experience in this arenaInstall experience2none0/10

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2n/auntestednone yet

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2noneuntestednone yet

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2n/auntestednone yet

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2n/auntestednone yet

The project documents its security posture — what skills can execute, the trust model for third-party skills, and any telemetry or data collection C

Trust

engineering-leadSafety review — stories about safety review in this arenaSafety review2noneuntestednone yet

Releases ship with notes or a changelog so I can see what changed in the skills before I take an update C

Updates

developerVersioning updates — stories about versioning updates in this arenaVersioning updates1full7/10C

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1partial5/10C

List what is installed and remove skills cleanly, without orphaned files or lingering instructions C

Lifecycle

developerInstall experience — stories about install experience in this arenaInstall experience1none0/10

Control when skill changes reach my team — pinned versions or a lockfile rather than silent behind-the-back updates C

Pinning

engineering-leadVersioning updates — stories about versioning updates in this arenaVersioning updates1noneuntestednone yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 29 stories with headroom

What would move Superpowers’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.

  1. Agenticness — how well agents can access and operate the productConnect an agent via an official MCP server

    nonemoves agent-readyimpact 45

    Superpowers is a skills/plugin framework installed into various agent harnesses (Claude Code, Devin, Codex, Gemini CLI, etc.), not an agent itself, so an official MCP server is a plausible axis for this kind of product—but no evidence anywhere in the pack mentions Superpowers exposing an MCP server for agents to connect to; installation is via harness-specific plugin mechanisms, not MCP.

  2. Agenticness — how well agents can access and operate the productDrive the product through a documented public API

    nonemoves agent-readyimpact 45

    Superpowers ships as skills/plugins consumed via harness-specific install commands and Claude Code slash commands (/brainstorm, /execute-plan) rather than a documented public API (REST, SDK, etc.) that an external AI agent could call to drive the product programmatically; no such API is described anywhere in the evidence.

  3. Agent workflows — stories about agent workflows in this arenaMy coding agent can install a skill by itself — a non-interactive, promptless install path an agent can run headlessly end to end

    nonemoves PA Scoreimpact 30

    All installation evidence describes human-run commands (`/plugin marketplace add`, `devin plugins install`, git clone steps) that differ per harness and are documented as manual steps a user performs, not a single headless, promptless path the agent runs itself end-to-end.

  4. Agenticness — how well agents can access and operate the productGet AI-generated insights and suggestions from my data inside the product

    nonemoves Built-in AIimpact 30

    The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na".

  5. Agenticness — how well agents can access and operate the productRun the product headlessly / in CI for automation

    nonemoves agent-readyimpact 30

    Superpowers is described as a Claude-Code-style plugin/skills system that repeatedly pauses for human approval (brainstorming step asks the user what they're trying to do, 'every path still stops for your approval before implementation', worktree conflicts ask rather than force) — this is an interactive workflow, and no evidence pack item mentions a headless mode, CI flag, non-interactive invocation, or automation pipeline usage.

  6. Agenticness — how well agents can access and operate the productBuild against official SDKs

    partialq3/10moves agent-readyimpact 21

    Missing: no formally branded 'SDK', no language-specific client libraries, no versioned API reference, and no independent developer accounts of building against it as an SDK.

  7. Openness — open source, data portability, and self-hosting storiesDo everything through the API that I can do in the UI

    nonemoves PA Scoreimpact 20

    The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na".

  8. Privacy posture — data-handling and privacy storiesControl data retention and deletion

    nonemoves PA Scoreimpact 20

    The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na".

Showing the top 8 of 29 — every none/partial verdict in the story verdicts table is headroom.

Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.

Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map4 surfaces · 28 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

GitHub README28 stories

Probe proofs — replayable recordings from the probe harnessProbe proofs

Replayable recordings from our probe harness — see the Prove-It protocol to submit one.

$npx -y skills add obra/superpowers --skill test-driven-development -a claude-code -y --copy # in a scratch dir, then print installed SKILL.md frontmatterreproduced
$ npx -y skills add obra/superpowers --skill test-driven-development -a claude-code -y --copy  # in a scratch dir, then print installed SKILL.md frontmatter
\
███████╗██╗  ██╗██╗██╗     ██╗     ███████╗
██╔════╝██║ ██╔╝██║██║     ██║     ██╔════╝
███████╗█████╔╝ ██║██║     ██║     ███████╗
╚════██║██╔═██╗ ██║██║     ██║     ╚════██║
███████║██║  ██╗██║███████╗███████╗███████║
╚══════╝╚═╝  ╚═╝╚═╝╚══════╝╚══════╝╚══════╝

┌   skills 
│
◇  Source: https://github.com/obra/superpowers.git
│

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.◇  Repository cloned
│
◇  Found 14 skills
│
●  Selected 1 skill: test-driven-development

│
◇  Installation Summary ─╮
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├─────────────────────────────╯
│
◇  Installation complete

│
◇  Installed 1 skill ─╮
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├─────────────────────╯

│
└  Done!  Review skills before use; they run with full agent permissions.

\--- installed SKILL.md frontmatter ---
---
name: test-driven-development
description: Use when implementing any feature or bugfix, before writing implementation code
---

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

4 of 14 testable claims verified · 3 contradictedintegrity 0/100

36 distinct capability claims found in Superpowers’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

4

Verified

7

Unverified

3

Contradicted

17

Undersold

Verified (11)
Unverified (10)
Contradicted (3)
Undersold (17)
Claims outside our story set (17)

Real capability claims found in Superpowers’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.

  • Before writing code, the agent asks clarifying questions about what you actually want

    source ↗
  • Agent drafts a detailed implementation plan clear enough for a junior engineer to follow

    source ↗
  • Agent runs a subagent-driven-development process, dispatching engineering tasks to subagents and reviewing each one before continuing

    source ↗
  • Plans emphasize strict red/green TDD, YAGNI, and DRY principles

    source ↗
  • Requests are classified as spike, bounded, or architectural; small tasks skip the full planning ritual but still require human approval before implementation

    source ↗
  • Worktree removal refuses to force-delete uncommitted work; instead it names the files and asks the user

    source ↗
  • Workspace directories are now scoped per-plan so a follow-up plan can't misread a previous plan's progress ledger

    source ↗
  • Review-fix loop resumes the same implementer subagent, with a five-round circuit breaker that escalates to controller adjudication

    source ↗
  • When starting a new task, Claude defaults to talking through a plan with you before implementation

    source ↗
  • After brainstorming, it automatically creates and switches to a git worktree, enabling parallel tasks without clobbering each other

    source ↗
  • At the end of implementation, offers to open a GitHub PR, merge the worktree locally, or just stop

    source ↗
  • Enforces no production code without a failing test written first

    source ↗
  • Slash commands like /brainstorming and /execute-plan let you explore design or run batched implementation plans with review checkpoints

    source ↗
  • A four-phase debugging methodology requires root-cause investigation, with architectural review triggered after three failed fix attempts

    source ↗
  • User instructions in CLAUDE.md/AGENTS.md/GEMINI.md or direct requests take precedence over skills, which in turn override default behavior

    source ↗
  • Bootstrap teaches Claude that it has skills — 'Superpowers' — at session start

    source ↗
  • Offers a choice between acting as a human PM in a second session or letting the agent dispatch and review subagent tasks itself

    source ↗
Suggest a story for these →

Business model

open-sourcesupport-contracts

MIT open-source skill framework and development methodology, free on every supported harness; commercial support, tooling, and managed spending offered to enterprises by Prime Radiant.

pricing ↗

Score trend

How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.

PA Score24 (Sep 7 '26)22 (Sep 16 '26)
Agent-ready6 (Sep 7 '26)8 (Sep 16 '26)

Try Experimental

Run it in the microterminal →

Recorded agent sessions — and a live MCP handshake where the vendor ships one.

Flag

⚑ Flag a verdict

Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

Badge

Embed this product's score badge →

Hotlinked SVG — always shows the live current score.

For agents

Data

Agent surface uptime llms.txt 100% (30d, checked every 6h since Sep 8 '26)