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Author SHA1 Message Date
Jesse Vincent
d8189d1587 fix(sdd,codex): bounded wait stretches with reconciliation
Round 2 proved the long-wait mechanism (65.1%->0.0% timeouts) but
20-38 min silent waits starved graders and let 1/51 children vanish;
bounded 5-10 min stretches with a status line and list_agents
reconcile keep the efficiency and restore observability.
2026-07-31 10:27:51 -07:00
Jesse Vincent
db4538fcb8 fix(sdd): controllers wait long or not at all
Docs-only wait guidance in the platform reference changed nothing
(65.1% vs 67.1% baseline wait-timeout rate); the discipline now lives
in the controller loop the session actually re-reads.
2026-07-31 10:27:50 -07:00
Jesse Vincent
9b8b14fe12 fix(codex): event-driven waiting instead of short polls
60-78% of wait_agent calls timed out across every measured corpus;
waits are event subscriptions, so one long wait replaces dozens of
polls at identical wake latency.
2026-07-31 10:27:50 -07:00
Jesse Vincent
75756d2900 fix(codex): correct multi-agent guidance against Codex source
Five claims contradicted by the Codex CLI source (V2 has no
close_agent; followup_task always reaches a child; role files attach
via agent_type; full-history forks accept model/effort; V2 spawn
allowlist). Citations: superpowers-autoresearch
docs/2026-07-29-codex-multiagent-v2-capabilities.md.
2026-07-31 09:39:55 -07:00
Jesse Vincent
bb2a34b2a0 docs: remove the "We're Hiring" section from the README
The community engineer role has a candidate on trial, so the posting no
longer needs to be at the top of the README.
2026-07-27 11:43:14 -07:00
4 changed files with 62 additions and 92 deletions

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@@ -3,12 +3,6 @@
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. 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.
## We're Hiring!
We're hiring someone to help out full time with Superpowers community and code work.
You can read about the job at https://primeradiant.com/jobs/superpowers-community-engineer/
If this sounds like someone you know, definitely send them our way.
## Quickstart ## Quickstart
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). 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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@@ -1,85 +0,0 @@
# Releasing to the Codex portal
How to package a Superpowers release as the zip artifact OpenAI's Codex
plugin portal expects, and what to check before handing it over.
This is distinct from the older flow of syncing files into a fork of
`openai/plugins` and opening a PR, which
`scripts/sync-to-codex-plugin.sh` still implements — see the distribution
table in [porting-to-a-new-harness.md](porting-to-a-new-harness.md). The portal
artifact is a standalone, rootless archive: `.codex-plugin/`, `assets/`,
`skills/`, `README.md`, `LICENSE`, and `CODE_OF_CONDUCT.md` sit at the
archive root. Hooks, tests, docs, scripts, and other harnesses' manifests
are deliberately not shipped.
## Prerequisite: the OpenAI metadata source
Each packaged skill must carry `skills/<name>/agents/openai.yaml`. That
metadata is OpenAI-owned — it does not live in this repo — so the packaging
script seeds it from a prior official package. By default it looks for, in
order:
1. `../_tmp/sup-codex-packaging/superpowers/` (an unpacked package)
2. `../_tmp/sup-codex-packaging/superpowers.zip`
3. `../_tmp/sup-codex-packaging/superpowers.tar.gz`
or pass `--metadata-source <dir|.zip|.tar.gz>` explicitly.
If you have no prior package on disk, extract one from `openai/plugins`
(the upstream repo still carries the plugin, including the metadata):
```bash
# from a clone with an `upstream` remote pointing at github.com/openai/plugins
git fetch upstream
mkdir -p ../_tmp/sup-codex-packaging/superpowers
git archive upstream/main -- plugins/superpowers |
tar -x --strip-components 2 -C ../_tmp/sup-codex-packaging/superpowers
```
**New skills fail the build.** The script requires one `openai.yaml` per
skill directory; otherwise it prints `Missing OpenAI agent metadata for
skill: <name>` for each gap and dies with `metadata source is incomplete`.
If a release adds a skill, there is no metadata for it yet;
you need an updated official package (or metadata added upstream in
`openai/plugins`) before you can package. Don't hand-invent the yaml.
## Build the archive
From a clean working tree, package the release tag:
```bash
scripts/package-codex-plugin.sh --ref vX.X.X
```
The script reads the version from `.codex-plugin/plugin.json` (bumped by
`scripts/bump-version.sh`, so it matches the release tag), stages the tree
from the git ref — never from the working copy — and writes
`../_tmp/sup-codex-packaging/superpowers-VERSION.zip`, printing entry
count, skill count, and a SHA-256. Timestamps and file order are pinned so
rebuilding the same ref reproduces the same archive.
Useful flags: `--output PATH`, `--format zip|tar.gz`, `--allow-dirty`
(archive still comes from `--ref`), `--keep-stage` (inspect the staging
dir). `--help` has the full list.
## Verify
The script already refuses archives containing source-only paths and
mismatched metadata counts. Sanity-check the result anyway:
```bash
unzip -Z1 ../_tmp/sup-codex-packaging/superpowers-X.X.X.zip | head
unzip -Z1 ../_tmp/sup-codex-packaging/superpowers-X.X.X.zip | grep -c 'agents/openai.yaml'
unzip -p ../_tmp/sup-codex-packaging/superpowers-X.X.X.zip .codex-plugin/plugin.json | jq -r .version
```
Expect: rootless top-level entries (`.codex-plugin/`, `assets/`,
`skills/`), one `openai.yaml` per skill, and the release version.
The script itself is covered by `tests/codex/test-package-codex-plugin.sh`.
## Upload
Upload the zip through OpenAI's Codex plugin portal. This is a manual step
outside this repo; record the SHA-256 the script printed so the uploaded
artifact can be matched to the build.

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@@ -197,6 +197,17 @@ Everything you paste into a dispatch prompt — and everything a subagent
prints back — stays resident in your context for the rest of the session prints back — stays resident in your context for the rest of the session
and is re-read on every later turn. Hand artifacts over as files. and is re-read on every later turn. Hand artifacts over as files.
**Waiting on dispatched subagents:** never poll a wait interface with
short timeouts, and never sit in one silent, open-ended wait either.
While you have local work — ledger updates, packaging the next review,
reading reports — keep working; child results arrive on their own.
When you are genuinely idle, wait in bounded stretches (five to ten
minutes, where your platform allows), and between stretches post one
line of status and reconcile your live children: list them, and chase
any that finished without reporting. A bounded stretch keeps nearly
all of a long wait's efficiency while guaranteeing a stuck or lost
child is noticed within minutes, not at the end of the session.
### 1. Dispatch the implementer ### 1. Dispatch the implementer
Record BASE (`git rev-parse HEAD`) before dispatching — the review package Record BASE (`git rev-parse HEAD`) before dispatching — the review package

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@@ -7,7 +7,57 @@ Add to your Codex config (`~/.codex/config.toml`):
multi_agent = true multi_agent = true
``` ```
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. This enables the multi-agent tools that skills like
`dispatching-parallel-agents` and `subagent-driven-development` use.
Which tools you get depends on the multi-agent version your model
preset selects (current presets run V2; older ones run V1). Trust your
actual tool list over any table — including this one — when they
disagree.
- **Spawning:** give children a clean context with
`spawn_agent {fork_turns: "none"}`; the default `"all"` copies your
entire transcript into the child. On Codex 0.145+, role files under
`~/.codex/agents/` attach to isolated forks via `agent_type`.
Full-history forks accept `model` and `reasoning_effort` overrides
(only `agent_type` is refused there) — isolated forks are the SDD
default for context hygiene, not because overrides require them.
- **Fix rounds:** resume the implementer with `followup_task` — it
delivers your message, triggers a turn, and transparently reloads a
child the harness evicted. Never dispatch a fresh implementer on the
theory that a spawned agent cannot be messaged again; on V2 it
always can.
- **Lifecycle:** V2 has no `close_agent`. Finished children are
evicted automatically when slots are needed; leaving them unclosed
costs nothing. Only V1 sessions have `close_agent` — there, close
reviewers when their review returns, and close each implementer
after its task's review passes.
- **Model names:** never copy a model name from a skill, table, or old
session into `spawn_agent` without checking it against your current
spawn allowlist — V2 accepts only V2-capable presets and hard-errors
on the rest.
## Waiting on children
`wait_agent` is an event subscription, not a poll: a long wait wakes
the moment a child produces mailbox activity, with the same latency as
a short one. Short-timeout polling buys nothing and costs a tool call —
and a context rebill — per poll. In measured sessions, roughly
two-thirds of all wait calls were short polls that timed out.
- While you still have local work, do not wait at all. A completed
child's final answer is pushed into your mailbox and arrives with
your next turn.
- When you are genuinely idle with children outstanding, wait in
bounded stretches: `wait_agent` with `timeout_ms` 300000-600000
(5-10 minutes). After each stretch — wake or timeout — post one
status line, run `list_agents`, and chase any child that finished
without reporting. Never stack polls shorter than five minutes; the
event subscription wakes a bounded stretch just as fast as a short
one.
- Completion mail cannot wake an idle controller (it is delivered
without triggering a turn); covering that idle window is
`wait_agent`'s only job. A stretch that times out with no activity
is your cue to reconcile, not to shorten the next stretch.
## Environment Detection ## Environment Detection