Provides review-workflow scaffolding for context, evidence, and output. Use at the start of any detailed review to ensure consistent, comparable findings.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add thedixitjain/the-mega-skill-library --skill review-core --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: review-core
description: "Provides review-workflow scaffolding for context, evidence, and output. Use at the start of any detailed review to ensure consistent, comparable findings."
allowed-tools: "[]"
category: general-purpose
source_repo: athola/claude-night-market
source_path: "plugins/imbue/skills/review-core/SKILL.md"
source_url: https://github.com/athola/claude-night-market/blob/HEAD/plugins/imbue/skills/review-core/SKILL.md
---
# Core Review Workflow
## Table of Contents
1. [When to Use](#when-to-use)
2. [Activation Patterns](#activation-patterns)
3. [Required TodoWrite Items](#required-todowrite-items)
4. [Step 1 – Establish Context](#step-1--establish-context-review-corecontext-established)
5. [Step 2 – Inventory Scope](#step-2--inventory-scope-review-corescope-inventoried)
6. [Step 3 – Capture Evidence](#step-3--capture-evidence-review-coreevidence-captured)
7. [Step 4 – Structure Deliverables](#step-4--structure-deliverables-review-coredeliverables-structured)
8. [Step 5 – Verify Findings Are Grounded](#step-5--verify-findings-are-grounded-review-corefindings-verified)
9. [Step 6 – Contingency Plan](#step-6--contingency-plan-review-corecontingencies-documented)
## When To Use
- Use this skill at the beginning of any detailed review workflow (e.g., for architecture, math, or an API).
- It provides a consistent structure for capturing context, logging evidence, and formatting the final report, which makes the findings of different reviews comparable.
## When NOT To Use
- Diff-focused analysis - use diff-analysis
## Activation Patterns
**Trigger Keywords**: review, audit, analysis, assessment, evaluation, inspection
**Contextual Cues**:
- "review this code/design/architecture"
- "conduct an audit of"
- "analyze this for issues"
- "evaluate the quality of"
- "perform an assessment"
**Auto-Load When**: Any review-specific workflow is detected or when analysis methodologies are requested.
## Required TodoWrite Items
1. `review-core:context-established`
2. `review-core:scope-inventoried`
3. `review-core:evidence-captured`
4. `review-core:deliverables-structured`
5. `review-core:findings-verified`
6. `review-core:contingencies-documented`
## Step 1 – Establish Context (`review-core:context-established`)
- Confirm `pwd`, repo, branch, and upstream base (e.g., `git status -sb`, `git rev-parse --abbrev-ref HEAD`).
- Note comparison target (merge base, release tag) so later diffs reference a concrete range.
- Summarize the feature/bug/initiative under review plus stakeholders and deadlines.
## Step 2 – Inventory Scope (`review-core:scope-inventoried`)
- List relevant artifacts for this review: source files, configs, docs, specs, generated assets (OpenAPI, Makefiles, ADRs, notebooks, etc.).
- Record how you enumerated them (commands like `rg --files -g '*.mk'`, `ls docs`, `cargo metadata`).
- Capture assumptions or constraints inherited from the plan/issue so the domain-specific analysis can cite them.
## Step 3 – Capture Evidence (`review-core:evidence-captured`)
- Log every command/output that informs the review (e.g., `git diff --stat`, `make -pn`, `cargo doc`, `web.run` citations). Keep snippets or line numbers for later reference.
- Track open questions or variances found during preflight; if they block progress, record owners/timelines now.
### Record Lessons Learned (decision journal)
If this work involved rework, a failed approach, or a blocker, record it to
`docs/lessons-learned.md` so the insight survives past the session (draft and
confirm):
- If leyline is installed, invoke `Skill(leyline:decision-journal)` and append
a lesson entry (`what_happened`, `what_didnt_work`, `root_cause`, `action`;
set `phase` to `review`). Show the draft; append on confirmation.
- Fallback (leyline absent): append to `docs/lessons-learned.md` using the
in-file ENTRY TEMPLATE; assign the next `LL-NNN` id.
## Step 4 – Structure Deliverables (`review-core:deliverables-structured`)
- Prepare the reporting skeleton shared by all reviews:
- Summary (baseline, scope, recommendation)
- Ordered findings (severity, file:line, principle violated, remediation)
- Follow-up tasks (owner + due date)
- Evidence appendix (commands, URLs, notebooks)
- validate the domain-specific checklist will populate each section before concluding.
## Step 5 – Verify Findings Are Grounded (`review-core:findings-verified`)
Every finding must be falsifiable: a citation a second pass can
mechanically re-read and confirm. Findings that fail verification do not
ship.
- Use the grounded-finding schema from `Skill(imbue:structured-output)`:
each finding carries a `Location` (`file:line`) and a verbatim
`Anchor` snippet copied from that line.
- Write the findings to `.review/findings.json` (one object per finding:
`id`, `file`, `line`, `anchor`, `severity`, `category`,
`recommendation`, `evidence_refs`).
- Run the verifier:
```bash
python plugins/imbue/scripts/citation_verifier.py \
--findings .review/findings.json --repo-root .
```
Exit `0` means every citation resolved; exit `1` lists each finding
whose path, line, or anchor did not match the source.
- Drop or label `UNVERIFIED` any finding the verifier failed; only
verified findings enter the report. Attach the verifier output to the
evidence appendix.
- If the script is unavailable, fall back to re-reading each cited
`file:line` by hand and confirming the anchor text is present; note the
manual fallback in the contingency section.
## Step 6 – Contingency Plan (`review-core:contingencies-documented`)
- If a required tool or skill is unavailable (e.g., `web.run`), document the alternative steps that will be taken and any limitations this introduces. This helps reviewers understand any gaps in coverage.
- Note any outstanding approvals or data needed to complete the review.
## Exit Criteria
- All TodoWrite items complete with concrete notes (commands run, files listed, evidence paths).
- Every reported finding carries a `Location` + verbatim `Anchor` and was confirmed by `citation_verifier.py` (or a documented manual re-read); no unverified findings ship.
- `.review/findings.json` exists and the verifier exited `0`, or every failed finding was dropped or labeled `UNVERIFIED`.
- Domain-specific review can now assume consistent context/evidence/deliverable scaffolding and focus on specialized analysis.
- Any rework, failed approach, or blocker uncovered during evidence capture is recorded to `docs/lessons-learned.md` (or the in-file template).
---
**Source:** [`athola/claude-night-market`](https://github.com/athola/claude-night-market) → `plugins/imbue/skills/review-core/SKILL.md`
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