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Agent skill

Reflect

by tellahq in tellahq/opensession

Spawn three parallel review child sessions over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.

MITAuto-check passed

Install Reflect

skills CLI
$ npx skills add tellahq/opensession --skill reflect -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tellahq/opensession reflect --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/tellahq/opensession.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/pstack-suite/skills/reflect .claude/skills/reflect && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
reflect
GitHub stars
392
Token cost
~1.1k tokens
SKILL.md length
578 words
Files
5 (incl. references)
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Spawn three parallel review child sessions over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.

  • Works in 6 steps: Locate the active transcript → Spawn three reviewers in parallel → Synthesize → …
  • The user says reflect
  • SKILL.md covers When to invoke and Process
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Reflect is an agent skill from tellahq/opensession. Spawn three parallel review child sessions over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Use when the user says reflect.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/divergent-reviewer.md`, `references/judgment-reviewer.md` and `references/synthesizer.md`).

The licence is MIT.

When your agent uses it

  • The user says reflect

Example prompts

  • “/reflect”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Locate the active transcript
  2. Spawn three reviewers in parallel
  3. Synthesize
  4. Structural enforcement check
  5. Apply
  6. Summarize for the user

What it can do on your machine

Read from SKILL.md and the folder at commit 1524bbb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Reflect loads about 1.1k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 578 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from tellahq/opensession at commit 1524bbb, republished under its MIT licence (© tellahq). 578 words, ~1,103 tokens.

Download SKILL.mdSave it as .claude/skills/reflect/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
reflect
description
Spawn three parallel review child sessions 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.

When to invoke

  • The user said "reflect" or "/reflect".
  • A complex task (5+ tool calls) just landed cleanly and the recipe is worth keeping.
  • The agent hit dead ends, found the working path, and the path generalizes.
  • The user corrected the agent's approach mid-task.
  • A non-trivial workflow emerged that isn't captured anywhere.

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

Use the current conversation context for the active session. For an earlier session, discover the policy-gated Open Session session and history tools, identify it by exact id and explicit creator, and read only the relevant transcript windows. Never scan transcript files, databases, or global session storage. If no gated transcript resolves, write a tight digest of the current session and pass that instead.

2. Spawn three reviewers in parallel

Spawn three ask-mode child sessions in parallel with self-contained /pstack briefs that forbid file writes. Reviewers may use MCPs available to their Open Session session for cited context lookups. The parent applies edits.

LensModelPrompt template
Judgmentconfigured supporting model when available, otherwise inheritedreferences/judgment-reviewer.md
Toolingconfigured supporting model when available, otherwise inheritedreferences/tooling-reviewer.md
Divergenta different configured family when available, otherwise inheritedreferences/divergent-reviewer.md

Pass each template verbatim with a reduced transcript digest and, only when needed, an exact policy-gated session id. Reviewers return findings in their reports.

3. Synthesize

Spawn one ask-mode /pstack child as the synthesizer. It may use its policy-gated MCPs to spot-check citations. 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. The synthesizer already applies this criterion; this is a final pass before edits land. See the encode-lessons-in-structure principle skill.

Show full SKILL.md (234 more words)Show less
5. Apply

Present the synthesizer's full Accepted/Rejected/Backlog output. Apply edits only when the user's request and repository workflow authorize modifying skills; a read-only reflection stops at proposals. Skill changes can affect future agents, so keep them scoped and reviewable.

File backlog items only when the user explicitly asked for tracker updates and a policy-gated organization tool is available. Otherwise report them as proposals.

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 repository skill conventions and run its draft / test / iterate loop.
  • tune description: <skill path> (the skill exists but didn't trigger when it should have): hand to the repository skill conventions and run its description-optimization loop.
  • new skill via Open Session skill authoring: <kebab-name>: hand creation to the repository skill conventions. 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 proposals or authorized tracker items: <issue title> (<tags>). One line each.
  • Dropped: one line per rejected finding + reason from the synthesizer.

© tellahq, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in .agents/skills/pstack-suite/skills/reflect of tellahq/opensession.

  • SKILL.md
  • references/divergent-reviewer.md
  • references/judgment-reviewer.md
  • references/synthesizer.md
  • references/tooling-reviewer.md

Open the folder on GitHubat commit 1524bbb

Compare with similar skills

Reflect next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Reflect compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Reflect this skilltellahq/opensession392—~1.1kAutomated safety check: PassMIT
Spawnalirezarezvani/claude-skills28k—~829Automated safety check: PassMIT
Reflectalirezarezvani/claude-skills28k1 repos~2.4kAutomated safety check: PassMIT
Reflect on Session Learningscursor/plugins10k5 repos~1.2kAutomated safety check: PassNone
Reflecting On Sessionscomposio-community/awesome-claude-plugins1.9k—~570Automated safety check: PassNone
Session Handoffsickn33/agentic-awesome-skills47k—~1.8kAutomated safety check: NotesMIT

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Questions about Reflect

What does Reflect do?

Spawn three parallel review child sessions over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Reflect is an agent skill from tellahq/opensession. Spawn three parallel review child sessions over the active transcript, surface learnings, and route each to a concrete edit on an existing skill.

When should I use Reflect?

Reflect fits situations like: the user says reflect.

How do I install Reflect in Claude Code?

Run `npx skills add tellahq/opensession --skill reflect -a claude-code`. Or copy the skill folder (.agents/skills/pstack-suite/skills/reflect in tellahq/opensession) into .claude/skills/reflect in your project. Claude Code loads it when a task matches its description.

How do I install Reflect in Codex?

Run `npx skills add tellahq/opensession --skill reflect -a codex`. Or copy the skill folder (.agents/skills/pstack-suite/skills/reflect in tellahq/opensession) into .agents/skills/reflect in your project. Codex loads it when a task matches its description.

Can I use Reflect in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tellahq/opensession --skill reflect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reflect, .gemini/skills/reflect, .github/skills/reflect and .opencode/skills/reflect in your project.

What does Reflect need to run?

SKILL.md names no scripts, command-line tools or credentials: Reflect is instructions for the agent only.

Does Reflect access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Reflect safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Reflect use?

Reflect is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Reflect use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4k tokens, read only when the agent opens those files.

What are the alternatives to Reflect?

Skills that share tags, products or a category with Reflect: Spawn (alirezarezvani/claude-skills, 28k stars), Reflect (alirezarezvani/claude-skills, 28k stars), Reflect on Session Learnings (cursor/plugins, 10k stars) and Reflecting On Sessions (composio-community/awesome-claude-plugins, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reflect?

tellahq (a GitHub organization) maintains it in tellahq/opensession, which has 392 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 7, 2026.

Source: tellahq/opensession on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.