reflect
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
Skill by backnotprop
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/backnotprop-reflect
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: writing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/reflect
What's inside
- Skill 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.
- License
- MIT
- Instructions
- 77 lines in SKILL.md · view on GitHub
Files (5)
- SKILL.md
- divergent-reviewer.md · references/
- judgment-reviewer.md · references/
- synthesizer.md · references/
- tooling-reviewer.md · references/
SKILL.md (first lines)
# 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.
From backnotprop/pstack, MIT.
More from backnotprop/pstack
- 0.769score
statechart
backnotprop
Draw how any system moves between states, such as a product flow, a protocol, or a service, as a Mermaid statechart from a TLA+ model.
SkillAFreshness: A★ 2.7KClaude Code +9 - 0.769score
show-me-your-work
backnotprop
Keep a reviewable decision trail for long-running or unattended work: a TSV log with one row per decision (what, why, evidence, result).
SkillAFreshness: A★ 2.7KClaude Code +9 - 0.769score
why
backnotprop
Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds.
SkillAFreshness: A★ 2.7KClaude Code +9 - 0.768score
typescript-best-practices
backnotprop
TypeScript best practices.
SkillAFreshness: A★ 2.7KClaude Code +9 - 0.766score
poteto-help
backnotprop
Guides users through pstack setup, /poteto-mode, and picking the skill, playbook, or principle for a task.
SkillAFreshness: A★ 2.7KClaude Code +9 - 0.764score
maintain-formal-verification-skill
backnotprop
Bring a project's formal verification back in line with the code after the code changes: find the commits that touched verified code, update the model…
SkillAFreshness: A★ 2.7KClaude Code +9 - 0.761score
technical-writing
backnotprop
Layered technical-writing standard: Diátaxis structure, Google developer style sentences, STE instruction rules, Global English syntax.
SkillAFreshness: A★ 2.7KClaude Code +9 - 0.761score
setup-pstack
backnotprop
Configure which models pstack uses per role and at what reasoning budget.
SkillAFreshness: A★ 2.7KClaude Code +9 - 0.761score
swarm
backnotprop
Fan out N parallel workers, drain them, and return one report.
SkillAFreshness: A★ 2.7KClaude Code +9 - 0.760score
recall
backnotprop
Reconstruct your recent working context from your own chat history, live state, and the shared record (user reports, prior fixes, incidents), then hand back a…
SkillAFreshness: A★ 2.7KClaude Code +9 - 0.758score
principle-model-the-domain
backnotprop
Apply when writing stateful logic, or when code branches a lot or repeats a shape assumption across files.
SkillAFreshness: A★ 2.7KClaude Code +9 - 0.756score
principle-type-system-discipline
backnotprop
Apply when designing types, reviewing a function signature, or writing code in any statically-typed language.
SkillAFreshness: A★ 2.7KClaude Code +9
Signals
- Stars
- 2,694
- Forks
- 207
- Open issues
- 1
- Last commit (this folder)
- Oct 24, 2026 (5 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/backnotprop/pstack
- Website
- agent.sediman.com/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.404score
reflect
dsebban
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
SkillAFreshness: A★ 68Claude Code +9 - 0.398score
reflect
minghinmatthewlam
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
SkillAFreshness: A★ 46Claude Code +9 - 0.390score
reflect
jiangkoumo
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
SkillAFreshness: A★ 27Claude Code +9 - 0.389score
reflect
iap
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
SkillAFreshness: A★ 27Claude Code +9 - 0.386score
reflect
n3m6
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
SkillAFreshness: A★ 19Claude Code +9 - 0.383score
reflect
enitrat
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
SkillAFreshness: A★ 15Claude Code +9 - 0.380score
reflect
peterpme
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
SkillBFreshness: B★ 93Claude Code +9 - 0.372score
reflect
shrimpwtf
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
SkillBFreshness: B★ 39Claude Code +9 - 0.365score
reflect
lucasheriques
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
SkillAFreshness: A★ 3Claude Code +9 - 0.361score
reflect
olibyte
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
SkillAFreshness: A★ 2Claude Code +9 - 0.357score
reflect
kkgogogo17
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
SkillBFreshness: B★ 10Claude Code +9 - 0.339score
reflect
gutierrezje
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.
SkillAFreshness: AClaude Code +9
More from backnotprop
- 0.786score
plannotator-visual-explainer
backnotprop
Generate self-contained HTML visualizations with Plannotator theming.
SkillAFreshness: A★ 9.6KClaude Code +9 - 0.782score
release-plannotator
backnotprop
Prepare and execute a Plannotator release — draft release notes with full contributor credit, bump versions across all package files, build in dependency…
SkillAFreshness: A★ 9.6KClaude Code +9 - 0.781score
review-renovate
backnotprop
Review Renovate bot PRs that update GitHub Actions dependencies.
SkillAFreshness: A★ 9.6KClaude Code +9 - 0.781score
plannotator
backnotprop
Reference for using Plannotator (its `plannotator` tool when you have one, otherwise the CLI): plan review, code review, annotating files, URLs, folders, and…
SkillAFreshness: A★ 9.6KClaude Code +9 - 0.778score
plannotator-annotate
backnotprop
Open Plannotator's annotation UI for a markdown file, plain-text config file (.yaml, .json, .toml, .ini, .csv, .log, …), HTML file, URL, or folder and then…
SkillAFreshness: A★ 9.6KClaude Code +9 - 0.778score
update-deps
backnotprop
Audit and update npm/Bun dependencies with supply chain integrity checks — verifies maintainers, publish age, tarball diffs, and provenance before bumping.
SkillAFreshness: A★ 9.6KClaude Code +9
Cite this page
reflect skill. Agent Mart. https://agentmart.dev/skills/backnotprop-reflect (last updated 2026-10-24)