reflect
Skill0 starsChanged 38 days agoMITView on GitHub
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Use when the user says reflect.
172 other projects use a version of this, 47 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 make-bot-ui.
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.
eryzerzSkillmake-bot-ui
Use when building a custom UI (page, dashboard, buttons) that should wake a Grok Bot over a webhook, when the user must provide a webhook sender key, or when exposing that UI on Tailscale.
Also in 19 projects that use this
Other versions172 projects use a version of this.
Word for word · 0
None found.
Edited · 47
- backnotprop/pstack★ 3.8k31% same
- jtaroreh/agystack★ 12858% same
- uzairansaruzi/p3-stack★ 12664% same
- dsebban/skills★ 7128% same
- creedants/pstack-t3★ 1829% same
- Scino/fstack★ 1862% same
- mariusflorescu/pstack-t3★ 1331% same
- caidanw/skills★ 1137% same
- adjohn/pstack★ 938% same
- kkgogogo17/pi-pstack★ 956% same
37 more not listed
Wrote their own version · 125
- 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
115 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.
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The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 163 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 54
Before applying any Accepted edit, present the synthesizer's full Accepted/Rejected/Backlog output to the user and wait for explicit …
- Very specific: line 65
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
Claude Code: read Cursor terms in this skill through
claude-code/runtime.md(tools, subagents, models, transcripts).
Mine the current conversation for durable learnings, then route them into skill edits.
When to invoke
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.
Process
1. Locate the active transcript
The parent finds its own transcript file before fanning out. Claude Code keeps it under ~/.claude/projects/<project>/ (see pstack's claude-code/runtime.md). Use that path. Do not glob across ~/.claude/projects/*/. That crosses workspace boundaries and reads private chats from unrelated projects.
ls -t ~/.claude/projects/<project>/*.jsonl ~/.claude/projects/<project>/*/*.jsonl ~/.claude/projects/<project>/*/subagents/*.jsonl 2>/dev/null | head -10Three transcript layouts: legacy flat (<id>.jsonl), current nested (<id>/<id>.jsonl), and subagent (<parent>/subagents/<child>.jsonl).
For each candidate, read the first JSONL line and check that message.content[0].text contains the conversation's opening user prompt. Take the matching path. If no path resolves, write a tight digest of the session and pass that instead.
2. Spawn three reviewers in parallel
One message, three Agent calls, subagent_type: general-purpose, with explicit model and effort set as below, full tool access (general-purpose, MCP included). Reviewers need MCP access for context lookups (tickets, chat threads, observability traces referenced in the transcript). Readonly strips MCPs.
Resolve each seat's explicit model and effort from delegation-kit's live routing table when its Delegation routing (live section is in context; otherwise use pstack-models.md and the defaults below. Map auto, inherit-parent, and inherit to model: sonnet, effort: medium. Always pass both parameters to Agent, including retries and resumes. For fan-outs of 3+ use sonnet/haiku seats, never opus. The main session owns final synthesis; any separately prescribed synthesizer runs alone after the fan-out.
| Lens | Role line | Default model / effort | Prompt template |
| Judgment | reflect judgment, divergent, synthesizer | sonnet / high | references/judgment-reviewer.md |
| Tooling | reflect tooling | sonnet / medium | references/tooling-reviewer.md |
| Divergent | reflect judgment, divergent, synthesizer | sonnet / high | references/divergent-reviewer.md |
Pass each template verbatim, substituting the transcript path or digest where marked. Reviewers return findings in the Agent response body.
3. Synthesize
One Agent call, subagent_type: general-purpose, with explicit model and effort from the reflect judgment, divergent, synthesizer line (single-seat default opus / medium, after all reviewers finish), full tool access (general-purpose, MCP included). The synthesizer's quality check includes spot-verifying citations, which can require MCP access. Readonly strips MCPs. Use references/synthesizer.md verbatim, with each reviewer's full output inlined where marked. The synthesizer returns a structured Accepted / Rejected / Backlog list.
4. Structural enforcement check
Sanity-check the synthesizer's Accepted list. For any item that would be enforced more reliably by a lint rule, script, metadata flag, or runtime check, move it from Accepted to Backlog. See the encode-lessons-in-structure principle skill.
5. Apply
Before applying any Accepted edit, present the synthesizer's full Accepted/Rejected/Backlog output to the user and wait for explicit approval. The user picks which subset to apply and may redirect routings. Skill changes affect every future agent in the org. Do not auto-apply.
Backlog items file to whatever devex / backlog tracker your team uses automatically. Only the Accepted list waits for approval.
For each approved Accepted item, follow the Routing field exactly:
- Trivial existing-skill edit (a one-line bullet, a tightened sentence, a stale fact corrected): parent does directly.
- Substantive existing-skill edit (a new section, a new pattern table, more than ~10 lines): hand to the
skill-creatorskill (see pstack'sclaude-code/runtime.md) and run its draft / test / iterate loop. tune description: <skill path>(the skill exists but didn't trigger when it should have): hand tocreate-skilland run its description-optimization loop.new skill via create-skill: <kebab-name>: hand creation tocreate-skill. Do not invent the shape ad hoc.
If your environment ships a SKILL.md validator, run it on every touched skill before declaring done. Skip this step if it doesn't.
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.
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.

