reflect · backnotprop — Claude Code skill: what it does, how to install
Mines the current session transcript using three review subagents and turns discovered lessons into concrete skill edits.
npx skills add backnotprop/pstack --skill reflect -a claude-codeWhat reflect does
The skill locates the active session transcript file and spins up three parallel reviewers: judgment, tooling, and divergent. Each subagent runs with readonly: false enabled. This write-enabled mode is required because subagents need MCP access to inspect ticket links, chat logs, and observability traces mentioned during the session. If the target harness lacks subagent tooling, the user must run the review roles sequentially.
A synthesizer reviews all findings and sorts them into accepted, rejected, and backlog buckets. Edits are never applied automatically: the skill presents the changes and waits for explicit user confirmation. Trivial edits are applied directly to local skill directories, while larger additions route to a skill authoring tool such as create-skill.
What it helps with
- extract durable learnings from completed agent transcripts
- update existing project skills without manual drafting
- verify referenced traces and tickets across MCP tools
- route structural enforcement ideas into the devex backlog
Example prompts for the agent
- reflect
- /reflect
- review the current transcript using reflect
How to install reflect
1Skills CLI (Vercel)
npx skills add backnotprop/pstack --skill reflect -a claude-code2Manually: put the files in place
~/.claude/skills/reflect/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/reflect/
1Skills CLI (Vercel)
npx skills add backnotprop/pstack --skill reflect -a codex2Manually: put the files in place
.agents/skills/reflect/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add backnotprop/pstack --skill reflect -a cursor2Manually: put the files in place
.cursor/skills/reflect/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install backnotprop/pstack reflect2Manually: put the files in place
.github/skills/reflect/SKILL.md1Skills CLI (Vercel)
npx skills add backnotprop/pstack --skill reflect -a gemini-cli2Platform CLI
gemini skills install https://github.com/backnotprop/pstack --path skills/reflectManually: put the files in place
.devin/skills/reflect/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add backnotprop/pstack --skill reflect -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about reflect
How to install reflect in Claude Code?
Run npx skills add backnotprop/pstack --skill reflect -a claude-code. The skill file will be placed at ~/.claude/skills/reflect/SKILL.md.
What does the reflect skill do?
It analyzes the active conversation transcript with three parallel reviewers and formats actionable findings into skill updates.
Why does reflect require readonly: false for subagents?
Read-only mode strips MCP access. The review subagents need MCP tools to verify tickets, external threads, and observability traces cited in the session log.
Source text
SKILL.md · MIT
--- name: reflect description: 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. disable-model-invocation: true --- # 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 in the active workspace's session directory. Do not glob across every project's directory. That crosses workspace boundaries and reads private chats from unrelated projects. Where the transcript lives depends on your harness: - **Cursor:** the `agent-transcripts/` directory the system prompt names. ```bash ls -t <agent-transcripts>/*.jsonl <agent-transcripts>/*/*.jsonl <agent-transcripts>/*/subagents/*.jsonl 2>/dev/null | head -10 ``` That covers the legacy flat (`<id>.jsonl`), current nested (`<id>/<id>.jsonl`), and subagent (`<parent>/subagents/<child>.jsonl`) layouts. For each candidate, read the first JSONL line. Take the file whose `message.content[0].text` contains the conversation's opening user prompt. - **Claude Code:** `~/.claude/projects/<slug>/<session-id>.jsonl`, where `<slug>` is the workspace path with every character that isn't a letter or digit turned into "-". - **Pi:** `~/.pi/agent/sessions/--<slug>--/*.jsonl`, where `<slug>` is the workspace path with the leading slash dropped and each "/" turned into "-". - **Codex:** `~/.codex/sessions/YYYY/MM/DD/rollout-*.jsonl`. Keep only files whose first line has `payload.cwd` equal to the workspace path. - **Other harnesses:** check the harness's session directory for this workspace. Outside Cursor, take the newest candidates first and confirm one by finding the conversation's opening user prompt in its first user message. If none matches, pass a tight digest of the session instead. ## 2. Spawn three reviewers in parallel One message, three `Task` calls, `subagent_type: generalPurpose`, agent mode (`readonly: false`). Reviewers need MCP access to look up the tickets, chat threads, and observability traces the transcript references, and readonly strips MCPs. **Other harnesses.** The spawns in this skill use Cursor's `Task` tool. In another harness, use its subagent tool: `Agent` in Claude Code (`subagent_type: general-purpose`), `task` in OpenCode (`subagent_type: general`), `spawn_agent` in Codex. Keep the prompt and the model. Drop parameters your tool doesn't have. If your harness has no subagent tool, as in Pi without an extension, run each role yourself, one after another. Each reviewer and the synthesizer name a role line in the pstack settings file (`~/.cursor/rules/pstack-models.mdc` in Cursor, `~/.claude/rules/pstack-models.md` in Claude Code, `~/.agents/pstack-models.md` in other harnesses) and a default. Set `model` to that line's value, or to the default if the file or the line is missing. Leave `model` unset when the value is `auto` or `inherit-parent`. If your subagent tool rejects a slug, use the default and say so. If it rejects the default, use the closest valid slug of the same family from its error message or your harness's model list. Pick each subagent's reasoning level and fast or standard speed for the job, per the Subagents section of the **poteto-mode** skill. | Lens | Role line | Default `model` | Prompt template | |---|---|---|---| | Judgment | `reflect judgment, divergent, synthesizer` | `claude-opus-5-5-xhigh` | `references/judgment-reviewer.md` | | Tooling | `reflect tooling` | `grok-4.7-xhigh-fast` | `references/tooling-reviewer.md` | | Divergent | `reflect judgment, divergent, synthesizer` | `claude-opus-5-5-xhigh` | `references/divergent-reviewer.md` | Pass each template verbatim, substituting the transcript path or digest where marked. Reviewers return findings in the `Task` response body. ## 3. Synthesize One `Task` call, `subagent_type: generalPurpose`, `model` from the `reflect judgment, divergent, synthesizer` line (default `claude-opus-5-5-xhigh`), agent mode (`readonly: false`). It spot-verifies citations through MCP, and readonly strips MCPs. Pass `references/synthesizer.md` verbatim, with each reviewer's full output inlined where marked. It returns an Accepted / Rejected / Backlog 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 the **encode-lessons-in-structure** principle skill. ## 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. Only the Accepted list waits for approval. Never edit a skill under `plugins/cache/`. Before approval, show its destination: `.cursor/skills/<skill>/` or `~/.cursor/skills/<skill>/` in Cursor, or your harness's project or user skill folder, such as `.claude/skills/<skill>/` or `~/.agents/skills/<skill>/`. After approval, copy the skill folder there and edit the copy. 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): hand to your harness's skill-authoring skill and run its draft / test / iterate loop. That is `create-skill` in Cursor (built in) or Anthropic's `skill-creator`. If you have neither, follow the Agent Skills format at agentskills.io. "`create-skill`" below means whichever of these you use. - `tune description: <skill path>` (the skill exists but didn't trigger when it should have): hand to `create-skill` and run its description-optimization loop. - `new skill via create-skill: <kebab-name>`: hand creation to `create-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. ## 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.
© backnotprop · MIT · backnotprop/pstack
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