reflect
Skill1 starsChanged 24 days agoMITView on GitHub
Use for Pstack reflection on corrections in the current conversation and reviewable improvements to source skills.
172 other projects use a version of this, 46 of them edited.
Adopted by
Most recently taken up by
- Yeachan-Heo/oh-my-claude-sisyphustheir own version, first seen Nov 8, 2026
- Loner1024/skillstheir own version, first seen Nov 8, 2026
- caidanw/skillsedited, first seen Nov 8, 2026
- Yeachan-Heo/oh-my-claudecodetheir own version, first seen Nov 8, 2026
- endqwerty/endstackedited, first seen Nov 8, 2026
- tristanphvn/keeledited, first seen Nov 8, 2026
Used with
Projects with it also use poteto-help, setup-pstack and 1 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ianclearySkillpoteto-help
Guides users through pstack setup, /poteto-mode, and picking the skill, playbook, or principle for a task. Type /poteto-help with a question.
Also in 14 projects that use this
bnemaSkillsetup-pstack
Configure which Pi models pstack uses per role. Detects available provider/model specs and writes pstack's user configuration. Use for /setup-pstack, "configure pstack models", or changing pstack model choices.
Also in 24 projects that use this
jaydubya818Skillpoteto-mode
Use when non-trivial work should follow the smallest rigorous Jstack workflow.
Also in 27 projects that use this
Other versions172 projects use a version of this.
Word for word · 0
None found.
Edited · 46
- backnotprop/pstack★ 3.8k32% same
- jtaroreh/agystack★ 12826% same
- uzairansaruzi/p3-stack★ 12632% same
- dsebban/skills★ 7134% same
- creedants/pstack-t3★ 1835% same
- Scino/fstack★ 1826% same
- mariusflorescu/pstack-t3★ 1337% same
- caidanw/skills★ 1144% same
- adjohn/pstack★ 941% same
- kkgogogo17/pi-pstack★ 930% same
36 more not listed
Wrote their own version · 126
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame name
- github/gh-aw★ 5.6ksame name
- github/squad★ 3.4ksame name
- rilldata/rill★ 3ksame name
- microsoft/waza★ 1.5ksame name
- llama-farm/llamafarm★ 837same name
- haddock-development/claude-reflect-system★ 373same name
- egregore-labs/egregore★ 293same name
- akitaonrails/my-skills★ 283same name
116 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository107 other files it gives its agents.
- AGENTS.mdAGENTS.md
- audit-agent-documentationSkill
- automate-meSkill
- babysit-and-shipSkill
- chief-of-staffSkill
- coordinatorSkill
- figure-it-outSkill
- git-guardrailsSkill
- maintain-skillsSkill
- principlesSkill
- pstack-helpSkill
- pstack-modeSkill
- pstack-setupSkill
- recallSkill
- retroSkill
- setup-matt-pocock-skillsSkill
- show-me-your-workSkill
- swarmSkill
- usage-reviewSkill
- wizardSkill
- writing-for-agentsSkill
- broSkill
- in-your-own-wordsSkill
- ketchupSkill
- ketchup-videoSkill
- next-optionsSkill
- prSkill
- reply-shapeSkill
- teachSkill
- technical-writingSkill
- unslopSkill
- write-like-meSkill
- correctSkill
- create-formal-verification-skillSkill
- create-verification-skillSkill
- diagnosing-bugsSkill
- implementSkill
- implement-specSkill
- linting-alignmentSkill
- maintain-formal-verification-skillSkill
- maintain-verification-skillSkill
- make-bot-uiSkill
- pstack-tddSkill
- setup-agent-sign-inSkill
- setup-pre-commitSkill
- setup-ts-deep-modulesSkill
- statechartSkill
- tddSkill
- typescript-best-practicesSkill
- update-dependenciesSkill
- architectSkill
- arenaSkill
- codebase-designSkill
- design-prototypeSkill
- domain-modelingSkill
- grillingSkill
- grill-meSkill
- grill-with-docsSkill
- howSkill
- improve-codebase-architectureSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 163 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 54
Follow each approved row's Routing exactly:
- Very specific: line 61
If your environment ships a SKILL.md validator, run it on every touched skill before declaring done.
“Common” is measured: kept by at least 6 in 10 of the 163 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Reflect
Mine the current conversation for durable learnings, then route them into skill edits.
Invoke when the user says "reflect" or "/reflect". Skip when the conversation is trivial, off-topic, or already covered by an existing skill the parent followed correctly. One-offs are not learnings.
1. Locate the active transcript
Before fanning out, find this conversation's transcript. Use the host's active conversation API when it exposes one. Otherwise invoke /recall to list this repository's recent Codex and Claude Code sessions and read a candidate. Do not glob across ~/.claude/projects/*/ or every Codex session. That crosses workspace boundaries and reads private chats from unrelated projects.
For each candidate, newest first, read its first user prompt, past host-injected context such as the AGENTS.md instructions Codex records as the first user message. Take the session whose first user prompt contains the conversation's opening user prompt. If none matches, pass a tight digest of the session instead.
Complete when the transcript path or the digest is fixed.
2. Spawn three reviewers in parallel
Use /swarm to start all three before waiting on any, as native subagents that keep the session's MCP and connector tools. Reviewers need MCP access to look up the tickets, chat threads, and observability traces the transcript references, and a tool-restricted reviewer has none. /swarm sets each subagent's model and effort from its role: reflect tooling for the Tooling lens, and reflect judgment for the Judgment and Divergent lenses and the synthesizer.
| Lens | Prompt template |
| Judgment | references/judgment-reviewer.md |
| Tooling | references/tooling-reviewer.md |
| Divergent | references/divergent-reviewer.md |
Pass each template verbatim, substituting the transcript path or digest where marked. Reviewers return findings in their result.
Complete when all three reviewers have returned findings, or a missing one is disclosed.
3. Synthesize
One subagent through /swarm, with the same MCP and connector tools as the reviewers. It spot-verifies citations through MCP. Pass references/synthesizer.md verbatim, with each reviewer's full output inlined where marked. It returns an Accepted / Rejected / Backlog list.
Complete when the synthesizer has returned that list.
4. Structural enforcement check
Move any Accepted item that a lint rule, script, metadata flag, or runtime check would enforce more reliably to Backlog. See /principle-encode-lessons-in-structure.
Complete when every remaining Accepted item is one only an instruction can carry.
5. Apply
Present the synthesizer's full Accepted / Rejected / Backlog output and wait for explicit approval before applying any Accepted edit. The user picks the subset and may redirect routings. Skill changes affect every future agent in the org. Do not auto-apply.
File each Backlog item to your team's devex or backlog tracker without waiting, when the user's existing authorization covers filing; otherwise list it in the summary as a proposal. Only the Accepted list waits for approval.
Edit each skill at its source, the repository /pstack-setup records or the one this skill was installed from, never the installed copy. Before approval, show each skill's destination. Never open a PR or push.
Follow each approved row's Routing exactly:
- Trivial existing-skill edit (a one-line bullet, a tightened sentence, a stale fact corrected): the parent does it directly.
- Substantive existing-skill edit (a new section, a new pattern table, more than ~10 lines): draft it with /writing-for-agents, exercise it on a representative case, and revise until the case passes.
tune description: <skill path>(the skill exists but didn't trigger when it should have): hand to /writing-for-agents and tune the description, the pointer that decides when the skill loads.new skill via writing-for-agents: <kebab-name>: hand creation to /writing-for-agents. Do not invent the shape ad hoc.
If your environment ships a SKILL.md validator, run it on every touched skill before declaring done.
Complete when every approved edit is applied and validated, and every other Accepted item is recorded as declined.
6. Summarize for the user
Short list, no preamble:
- Edits applied:
<skill path>. What changed, one line each. - New skills created:
<skill path>. One line each (rare). - Backlog filed to the devex tracker:
<issue title>(<tags>). One line each. - Dropped: one line per rejected finding + reason from the synthesizer.
Complete when every reviewer finding appears in exactly one of these lines.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

