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Superpowers is a complete software development methodology for your coding agents, built on top of a set of composable skills and some initial instructions that make sure your agent uses them.
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## We're Hiring!
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We're hiring someone to help out full time with Superpowers community and code work.
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You can read about the job at https://primeradiant.com/jobs/superpowers-community-engineer/
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If this sounds like someone you know, definitely send them our way.
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## Quickstart
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Give your agent Superpowers: [Claude Code](#claude-code), [Antigravity](#antigravity), [Codex App](#codex-app), [Codex CLI](#codex-cli), [Cursor](#cursor), [Factory Droid](#factory-droid), [Gemini CLI](#gemini-cli), [GitHub Copilot CLI](#github-copilot-cli), [Kimi Code](#kimi-code), [OpenCode](#opencode), [Pi](#pi).
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# Releasing to the Codex portal
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How to package a Superpowers release as the zip artifact OpenAI's Codex
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plugin portal expects, and what to check before handing it over.
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This is distinct from the older flow of syncing files into a fork of
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`openai/plugins` and opening a PR, which
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`scripts/sync-to-codex-plugin.sh` still implements — see the distribution
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table in [porting-to-a-new-harness.md](porting-to-a-new-harness.md). The portal
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artifact is a standalone, rootless archive: `.codex-plugin/`, `assets/`,
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`skills/`, `README.md`, `LICENSE`, and `CODE_OF_CONDUCT.md` sit at the
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archive root. Hooks, tests, docs, scripts, and other harnesses' manifests
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are deliberately not shipped.
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## Prerequisite: the OpenAI metadata source
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Each packaged skill must carry `skills/<name>/agents/openai.yaml`. That
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metadata is OpenAI-owned — it does not live in this repo — so the packaging
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script seeds it from a prior official package. By default it looks for, in
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order:
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1. `../_tmp/sup-codex-packaging/superpowers/` (an unpacked package)
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2. `../_tmp/sup-codex-packaging/superpowers.zip`
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3. `../_tmp/sup-codex-packaging/superpowers.tar.gz`
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or pass `--metadata-source <dir|.zip|.tar.gz>` explicitly.
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If you have no prior package on disk, extract one from `openai/plugins`
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(the upstream repo still carries the plugin, including the metadata):
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```bash
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# from a clone with an `upstream` remote pointing at github.com/openai/plugins
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git fetch upstream
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mkdir -p ../_tmp/sup-codex-packaging/superpowers
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git archive upstream/main -- plugins/superpowers |
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tar -x --strip-components 2 -C ../_tmp/sup-codex-packaging/superpowers
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```
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**New skills fail the build.** The script requires one `openai.yaml` per
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skill directory; otherwise it prints `Missing OpenAI agent metadata for
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skill: <name>` for each gap and dies with `metadata source is incomplete`.
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If a release adds a skill, there is no metadata for it yet;
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you need an updated official package (or metadata added upstream in
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`openai/plugins`) before you can package. Don't hand-invent the yaml.
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## Build the archive
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From a clean working tree, package the release tag:
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```bash
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scripts/package-codex-plugin.sh --ref vX.X.X
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```
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The script reads the version from `.codex-plugin/plugin.json` (bumped by
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`scripts/bump-version.sh`, so it matches the release tag), stages the tree
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from the git ref — never from the working copy — and writes
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`../_tmp/sup-codex-packaging/superpowers-VERSION.zip`, printing entry
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count, skill count, and a SHA-256. Timestamps and file order are pinned so
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rebuilding the same ref reproduces the same archive.
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Useful flags: `--output PATH`, `--format zip|tar.gz`, `--allow-dirty`
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(archive still comes from `--ref`), `--keep-stage` (inspect the staging
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dir). `--help` has the full list.
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## Verify
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The script already refuses archives containing source-only paths and
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mismatched metadata counts. Sanity-check the result anyway:
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```bash
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unzip -Z1 ../_tmp/sup-codex-packaging/superpowers-X.X.X.zip | head
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unzip -Z1 ../_tmp/sup-codex-packaging/superpowers-X.X.X.zip | grep -c 'agents/openai.yaml'
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unzip -p ../_tmp/sup-codex-packaging/superpowers-X.X.X.zip .codex-plugin/plugin.json | jq -r .version
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```
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Expect: rootless top-level entries (`.codex-plugin/`, `assets/`,
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`skills/`), one `openai.yaml` per skill, and the release version.
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The script itself is covered by `tests/codex/test-package-codex-plugin.sh`.
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## Upload
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Upload the zip through OpenAI's Codex plugin portal. This is a manual step
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outside this repo; record the SHA-256 the script printed so the uploaded
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artifact can be matched to the build.
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@@ -7,7 +7,34 @@ Add to your Codex config (`~/.codex/config.toml`):
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multi_agent = true
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```
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This enables `spawn_agent`, `wait_agent`, and `close_agent` for skills like `dispatching-parallel-agents` and `subagent-driven-development`. When using subagent-driven-development, close reviewer subagents when their review returns. Keep each implementer subagent open until its task's review passes — the fix loop resumes the implementer — then close it. If your harness cannot send another message to a spawned agent, dispatch each fix round as a fresh implementer carrying the brief, the report file, and the findings.
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This enables the multi-agent tools that skills like
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`dispatching-parallel-agents` and `subagent-driven-development` use.
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Which tools you get depends on the multi-agent version your model
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preset selects (current presets run V2; older ones run V1). Trust your
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actual tool list over any table — including this one — when they
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disagree.
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- **Spawning:** give children a clean context with
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`spawn_agent {fork_turns: "none"}`; the default `"all"` copies your
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entire transcript into the child. On Codex 0.145+, role files under
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`~/.codex/agents/` attach to isolated forks via `agent_type`.
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Full-history forks accept `model` and `reasoning_effort` overrides
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(only `agent_type` is refused there) — isolated forks are the SDD
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default for context hygiene, not because overrides require them.
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- **Fix rounds:** resume the implementer with `followup_task` — it
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delivers your message, triggers a turn, and transparently reloads a
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child the harness evicted. Never dispatch a fresh implementer on the
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theory that a spawned agent cannot be messaged again; on V2 it
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always can.
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- **Lifecycle:** V2 has no `close_agent`. Finished children are
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evicted automatically when slots are needed; leaving them unclosed
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costs nothing. Only V1 sessions have `close_agent` — there, close
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reviewers when their review returns, and close each implementer
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after its task's review passes.
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- **Model names:** never copy a model name from a skill, table, or old
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session into `spawn_agent` without checking it against your current
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spawn allowlist — V2 accepts only V2-capable presets and hard-errors
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on the rest.
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## Environment Detection
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