session-review — Claude Code skill: what it does, how to install
Review a substantial coding session with independent reviewers, then turn their findings into immediate fixes or a measurable follow-up plan.
npx skills add awrshift/agent-memory-kit --skill session-review -a claude-codeWhat session-review does
At the end of a substantial coding or design session, the skill assembles the project context, goal, work completed, and questions to challenge into a standalone brief. It then runs reviewers in parallel: an isolated code-reader checks the actual files and web-checks whether the chosen technologies are current. An external-family model can join when available.
The agent compares findings, resolves disagreements on their merits, and challenges claims it rejects. It applies small, safe fixes and verifies them with artifacts such as tests or lint; larger changes go into a plan with a measurable outcome. This is for substantial work, not trivial one-off edits.
The closeout records what was found, applied, planned, or challenged, then reflects on the rules and orchestration that shaped the session. Invoke it explicitly with /session-review; automatic triggering is not expected.
What it helps with
- review decisions made during a coding session
- have an independent reviewer inspect the actual files
- resolve disagreements between reviewers
- separate safe immediate fixes from larger planned work
- identify which workflow rules helped or caused friction
Example prompts for the agent
- Review this session and challenge the decisions we made with
/session-review. - Stress-test the changes: ask a reviewer to inspect the files and check whether the chosen technologies are current.
- Close out this coding session, apply safe fixes, and write a measurable plan for the remaining work.
How to install session-review
1Skills CLI (Vercel)
npx skills add awrshift/agent-memory-kit --skill session-review -a claude-code2Manually: put the files in place
~/.claude/skills/session-review/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/session-review/
1Skills CLI (Vercel)
npx skills add awrshift/agent-memory-kit --skill session-review -a codex2Manually: put the files in place
.agents/skills/session-review/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add awrshift/agent-memory-kit --skill session-review -a cursor2Manually: put the files in place
.cursor/skills/session-review/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install awrshift/agent-memory-kit session-review2Manually: put the files in place
.github/skills/session-review/SKILL.md1Skills CLI (Vercel)
npx skills add awrshift/agent-memory-kit --skill session-review -a gemini-cli2Platform CLI
gemini skills install https://github.com/awrshift/agent-memory-kit --path plugins/memory-kit/skills/session-reviewManually: put the files in place
.devin/skills/session-review/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add awrshift/agent-memory-kit --skill session-review -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 session-review
How do I install session-review in Claude Code?
Run npx skills add awrshift/agent-memory-kit --skill session-review -a claude-code. The skill file is at ~/.claude/skills/session-review/SKILL.md.
What does session-review do?
It packages a session’s context for independent review, compares reviewer findings, and separates immediate fixes from measurable follow-up work.
When should I run session-review?
Use it at the close of a substantial coding or design session. The skill says to skip trivial one-off edits and is usually invoked explicitly with /session-review.
Source text
SKILL.md · MIT
---
name: session-review
description: >-
End-of-session adversarial review loop. Assemble the session's work into a role-assigned,
self-contained brief, then run independent reviewers in parallel — an isolated code-reader
(the idea-validator agent) that reads the ACTUAL files and web-checks technology currency,
plus an external-family model if you have one — synthesize where they agree vs diverge,
apply the cheap-safe fixes immediately, record a measurable plan for the rest, and CHALLENGE
reviewer claims you disagree with (never blind-accept). Use at the close of a substantive
coding or design session, when the user says "session review", "review my session",
"stress-test this session", or types /session-review. Skip for trivial one-off edits.
---
# Session Review — the adversarial closing loop
Stress-test a session's work **before it sets**, using reviewers who don't share your blind
spots. You wrote the work, so you are the worst person to spot what you assumed. The loop ends
in *action*: cheap-safe fixes applied immediately, the rest recorded as a measurable plan, and
anything you disagree with explicitly challenged — not silently accepted, not silently dropped.
Invocation is usually EXPLICIT (`/session-review`) — "review" is something the agent does
natively, so don't expect auto-triggering; invoke it by name at session close.
## The loop
### 1. Assemble the brief (the load-bearing step)
Write ONE self-contained markdown brief (e.g. to `/tmp/<repo>-session-review.md`). It is the
only context the reviewers get. It must contain:
- **An assigned role** that fits the work ("Principal Engineer" for a feature slice, "Security
reviewer" for auth work) — the role is the lens.
- **Project context** a stranger can follow, **the session goal**, and **what was built**, with
concrete file:line references.
- **The specific decision points you most want challenged** — and for anything that turns on
CURRENT best practice, an explicit ask to web-check with sources.
- **What to return** — a structured verdict with severity, file refs, a short MEASURABLE plan.
Never let the brief be the reviewer's only window: tell the code-reader explicitly
**"do not trust this summary — read the actual files."** Your summary is where your blind
spots live.
### 2. Run the reviewers IN PARALLEL (same message)
- **Reviewer A — the isolated code-reader.** Spawn `idea-validator` pointed at the brief AND
the actual files, with the currency instruction: "web-check whether every library / runtime /
pattern I chose is still the right choice this year, cite sources." Without that line it only
verifies claims you explicitly made — dated tech slips through.
- **Reviewer B — an external-family model** (if available), reviewing from the brief only.
Different training distribution, different blind spots; lean on it for concept and
tech-currency, not file-level facts.
- One reviewer alone (A) is still a valid light review — note the absence and proceed.
### 3. Synthesize — agree vs diverge
Where reviewers independently land on the same finding — high-confidence signal, promote it.
Where they diverge — the highest-value rows: adjudicate on merits. On facts about the code the
code-reader wins; **never count votes**. The full adjudication procedure — acceptance layers, the
claim→check table, how a disputed finding is allowed to close — is
`reference/orchestrator-fact-check.md`.
### 4. Act (the loop must end in action)
- **Accept now:** cheap, safe, low-blast-radius fixes — apply this session, verify by artifact
(typecheck / lint / tests), don't round toward success.
- **Plan, measured:** larger items become backlog entries, each with a metric for the win.
A plan item with no measurable outcome is a task for task's sake — drop it.
- **Challenge:** for anything you disagree with, write back WHY. Holding your ground with a
reason is the partnership — blind acceptance defeats the loop.
### 5. Measure the outcome
Close with what the loop produced: findings found / applied / planned / challenged, what you
had missed, what tech-currency facts updated. That's how you know it earned its tokens.
### 6. Retrospective on the machine (so quality compounds)
Steps 1-5 review the WORK; this reviews the SYSTEM that produced it. Three questions, backed by
what actually happened this session:
- What foundation element (a rule, a MEMORY line, a handoff, a pattern) EARNED its keep —
name the concrete moment. Keep those.
- Where did the foundation give friction or a gap — stale, duplicated, missing? Fix/merge/prune.
- How did the orchestration go — right agents, good-enough briefs, honest adjudication?
(`reference/parallel-development.md` for the fan-out defaults and stop-conditions.)
A CONFIRMED finding is worth a row in the findings-class registry, and a class recurring three
times earns promotion into the cheapest layer that prevents it — `reference/review-loop.md`.
Output: at most 1-3 minimal, evidence-backed adjustments, biased to **subtract before add**.
"Keep doing" is a valid output — most sessions should change the foundation little.
## Guardrails
- Never blind-accept. Rejecting a finding with a reason is a success, not a failure.
- Separate "now" from "plan" by RISK, not importance — big-blast-radius changes at the end of a
long session belong in the plan, done fresh.
- Scale to the work: small session → light brief, single reviewer; architecture change → the
full role-assigned, fact-checked, multi-reviewer pass.
© awrshift · MIT · awrshift/agent-memory-kit