Weekly Review Builder

v1.0.0

Build a weekly review that refreshes project phase, bottleneck, and next steps. Use on: weekly schedule, after several daily loops, before resetting project...

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Install

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Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for sunbinnju-star/weekly-review-builder.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Weekly Review Builder" (sunbinnju-star/weekly-review-builder) from ClawHub.
Skill page: https://clawhub.ai/sunbinnju-star/weekly-review-builder
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install weekly-review-builder

ClawHub CLI

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npx clawhub@latest install weekly-review-builder
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Purpose & Capability
The name and description match the SKILL.md: the skill asks for a project_card, weekly logs, decisions, outputs and stale tasks to produce an updated phase, bottleneck, next actions, and a writeback. All requested inputs are proportional to producing a weekly review.
Instruction Scope
Runtime instructions are limited to processing the provided inputs, performing evidence-based analysis, and producing a structured writeback. The SKILL.md does not instruct the agent to read unrelated system files, environment variables, or transmit data to external endpoints.
Install Mechanism
This is an instruction-only skill (no install spec, no code). Nothing will be downloaded or written to disk as part of an install, minimizing execution-surface risk.
Credentials
The skill requests no environment variables, credentials, or config paths. Inputs are explicit and scoped to project data; writeback is a structured object intended for project memory which is appropriate for this purpose.
Persistence & Privilege
Flags show always:false and default autonomous invocation settings. The skill does ask to populate review_writeback (normal for a review tool) but does not request persistent platform privileges or to modify other skills or system-wide settings.
Assessment
This skill appears internally consistent and limited to processing project data. Before installing, confirm where review_writeback will be stored (project memory vs. an external datastore) and whether you’re comfortable the agent may write structured review records into that memory. Because the skill can be invoked autonomously (platform default), review its outputs and writeback targets after first runs to ensure it behaves as you expect. No credentials or system access are requested by this skill.

Like a lobster shell, security has layers — review code before you run it.

latestvk9703z00wd4szqrj6sj03s2ds183qg23
118downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

Weekly Review Builder

Compress one week's activity into an updated, honest project state. Prevent long-term drift.

Input

Required:

  • project_card — full project card with current state, goals, phase
  • weekly_daily_logs — array of 5-7 daily loop logs from this week
  • weekly_decisions — decisions made during the week
  • weekly_outputs — tangible outputs produced this week
  • stale_tasks — tasks that were planned but not completed

Optional:

  • blocked_tasks — tasks that failed due to blockers

Output Schema

updated_current_phase: string       # refreshed project phase
updated_current_bottleneck: string  # the one most critical blocker now
next_week_goal: string              # single clear goal for next week
next_3_actions: string[]            # top 3 actions for next week
risk_check: string                  # honest assessment of current risks
one_page_project_summary: string    # compressed project status (≤300 words)
review_confidence: "high" | "medium" | "low"
review_writeback: object           # structured record for project memory
stale_tasks_resolved: string[]      # tasks cleared this week
stale_tasks_remaining: string[]     # tasks still pending

Rules

  1. Must remove outdated actions. If a planned task wasn't touched, mark it stale and either drop or reschedule it.
  2. Must identify the single current bottleneck. Not 3, not 5 — one.
  3. Must distinguish progress from activity. Meetings attended ≠ progress. Code shipped ≠ impact. Be precise.
  4. Must be honest if no real progress was made. Say so. A stagnant review is better than a flattering one.
  5. Evidence-based only. Do not update phase or bottleneck without supporting evidence from logs.

Review Phases

Phase 1: Log Compression

  • Read all weekly_daily_logs
  • Extract: findings, decisions, completions, blockers
  • Separate actual progress from busy-work

Phase 2: Gap Analysis

  • Compare weekly_outputs against weekly_daily_logs stated objectives
  • Identify: what was claimed vs what was delivered
  • Mark stale_tasks as resolved or remaining

Phase 3: State Refresh

  • Update current_phase based on evidence (not ambition)
  • Identify current bottleneck (the one thing blocking most progress)
  • Assess risk: what's the biggest threat to the project right now?

Phase 4: Forward Planning

  • Set next_week_goal (one clear goal)
  • List next_3_actions (ranked by impact)
  • Write one_page_project_summary for human readability

Phase 5: Writeback

  • Populate review_writeback with structured record
  • Set review_confidence based on evidence quality

Failure Handling

If evidence is insufficient (e.g., logs are missing, can't determine progress):

  • Mark review_confidence = "low"
  • Do not fabricate phase changes or bottleneck updates
  • Request missing log recovery before completing review
  • Write partial review with explicit gaps noted

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