Agent skill

Weekly Review

by Prismer-AI in Prismer-AI/PrismerCloud

Review commitments and stalled work from Prismer tasks and memory, then produce an evidence-based weekly plan with explicit coverage gaps.

MITAuto-check passedKnowledge Management

Install Weekly Review

skills CLI
$ npx skills add Prismer-AI/PrismerCloud --skill weekly-review -a claude-code

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

GitHub CLI
$ gh skill install Prismer-AI/PrismerCloud weekly-review --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/Prismer-AI/PrismerCloud.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sdk/cloud/catalog/skills/weekly-review .claude/skills/weekly-review && 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
weekly-review
GitHub stars
1.6k
Token cost
~679 tokens
SKILL.md length
324 words
Files
3
Skills in repo
88
Repo updated
First seen
Licence
MIT

At a glance

Review commitments and stalled work from Prismer tasks and memory, then produce an evidence-based weekly plan with explicit coverage gaps.

  • Works in 7 steps: Read completed and active tasks,… → Record outcomes, owner, deadline,… → Identify overdue work, missing next… → …
  • Tasks that involve Journaling and reflection
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Test coverage

What it does

Weekly Review is an agent skill from Prismer-AI/PrismerCloud. Review commitments and stalled work from Prismer tasks and memory, then produce an evidence-based weekly plan with explicit coverage gaps.

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `NOTICE.md`).

It sits in Knowledge Management, covering Journaling and reflection and Test coverage. The licence is MIT.

When your agent uses it

  • Tasks that involve Journaling and reflection
  • Tasks that involve Test coverage

Example prompts

  • “/weekly-review”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Read completed and active tasks, relevant decisions, goals and waiting items.
  2. Record outcomes, owner, deadline, blocker, last activity and source link.
  3. Identify overdue work, missing next actions, duplicates and conflicting states.
  4. Review next week's capacity only from available calendar/user evidence.
  5. Propose a small set of outcomes ranked by deadline, consequence and dependency.
  6. Apply updates already authorized by the user, then read back changed records.
  7. Report wins, risks, waiting items, next-week outcomes, verified updates and gaps.

What it can do on your machine

Read from SKILL.md and the folder at commit e5d9444. 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

Weekly Review loads about 679 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 324 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~679

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 Prismer-AI/PrismerCloud at commit e5d9444, republished under its MIT licence (© Prismer-AI). 324 words, ~679 tokens.

Download SKILL.mdSave it as .claude/skills/weekly-review/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
weekly-review
description
Review commitments and stalled work from Prismer tasks and memory, then produce an evidence-based weekly plan with explicit coverage gaps.
scope
common
category
productivity
license
MIT
metadata.nativeReplaces
weekly-review-planning
metadata.upstream
Hermes Agent skills/productivity/weekly-review-planning at 1a1f4a59e2

Weekly Review

Resolve review period and timezone from the request/context. Use tasks, memory, and okr only where available and authorized. External calendars and inboxes are optional sources, never assumed capabilities.

  1. Read completed and active tasks, relevant decisions, goals and waiting items.
  2. Record outcomes, owner, deadline, blocker, last activity and source link. Silence is not evidence of completion.
  3. Identify overdue work, missing next actions, duplicates and conflicting states.
  4. Review next week's capacity only from available calendar/user evidence. Without it, state that capacity is unverified instead of inventing free hours.
  5. Propose a small set of outcomes ranked by deadline, consequence and dependency. Name deferred work and evidence gaps.
  6. Apply updates already authorized by the user, then read back changed records. Draft follow-up messages unless sending them was requested.
  7. Report wins, risks, waiting items, next-week outcomes, verified updates and gaps.

Do not create cron jobs or a recurring monitor merely because this skill ran. Scheduling is a separate explicit request handled through platform scheduling.

Coverage and planning detail

Declare the authoritative system when stores disagree. Inspect both the completed week and the next 1-2 weeks for travel, preparation, deadlines and commitments. Classify each capture item as next action, project, waiting, scheduled, someday, reference, archive proposal or delete proposal; count unprocessed items. Consult prismer-email-inbox-triage for thread-level email handling only when authorized.

For every waiting item identify who owes what, its supporting record/event/thread and a proposed review or follow-up date. Keep proposed dates separate from agreed deadlines. For every active project identify an outcome and next action or mark it paused/unresolved. Rank outcomes by consequence, deadline, dependency and effort; reserve slack rather than allocating all apparent free hours. Explicitly name deferred work. Return wins, overdue/at-risk work, waiting items, stalled projects, next-week outcomes/calendar constraints, proposed updates and coverage gaps.

Calendar holds, rescheduling, archive/delete and messages each need authorization covering that effect. A request to run a review alone is not a scheduling request.

© Prismer-AI, 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 2 other files in sdk/cloud/catalog/skills/weekly-review of Prismer-AI/PrismerCloud.

  • SKILL.md
  • LICENSE
  • NOTICE.md

Open the folder on GitHubat commit e5d9444

Compare with similar skills

Weekly Review 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.

Weekly Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Weekly Review this skillPrismer-AI/PrismerCloud1.6k—~679Automated safety check: PassMIT
LLM Wikilewislulu/llm-wiki-skill655—~3.7kAutomated safety check: PassNone
Diary Study PlanOwl-Listener/designer-skills2.9k1 repos~313Automated safety check: PassMIT
React Expertmizchi/skills360—~408Automated safety check: PassNone
Munger Perspectivealchaincyf/munger-skill3791 repos~3.7kAutomated safety check: PassMIT
Daily Journalhuytieu/COG-second-brain1.3k—~1.3kAutomated safety check: PassMIT

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Questions about Weekly Review

What does Weekly Review do?

Review commitments and stalled work from Prismer tasks and memory, then produce an evidence-based weekly plan with explicit coverage gaps. Weekly Review is an agent skill from Prismer-AI/PrismerCloud. Review commitments and stalled work from Prismer tasks and memory, then produce an evidence-based weekly plan with explicit coverage gaps.

When should I use Weekly Review?

Weekly Review fits situations like: tasks that involve Journaling and reflection; tasks that involve Test coverage.

How do I install Weekly Review in Claude Code?

Run `npx skills add Prismer-AI/PrismerCloud --skill weekly-review -a claude-code`. Or copy the skill folder (sdk/cloud/catalog/skills/weekly-review in Prismer-AI/PrismerCloud) into .claude/skills/weekly-review in your project. Claude Code loads it when a task matches its description.

How do I install Weekly Review in Codex?

Run `npx skills add Prismer-AI/PrismerCloud --skill weekly-review -a codex`. Or copy the skill folder (sdk/cloud/catalog/skills/weekly-review in Prismer-AI/PrismerCloud) into .agents/skills/weekly-review in your project. Codex loads it when a task matches its description.

Can I use Weekly Review 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 Prismer-AI/PrismerCloud --skill weekly-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weekly-review, .gemini/skills/weekly-review, .github/skills/weekly-review and .opencode/skills/weekly-review in your project.

What does Weekly Review need to run?

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

Does Weekly Review 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 Weekly Review 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 Weekly Review use?

Weekly Review is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Weekly Review use?

About 679 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Weekly Review?

Skills that share tags, products or a category with Weekly Review: LLM Wiki (lewislulu/llm-wiki-skill, 655 stars), Diary Study Plan (Owl-Listener/designer-skills, 2.9k stars), React Expert (mizchi/skills, 360 stars) and Munger Perspective (alchaincyf/munger-skill, 379 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Weekly Review?

Prismer-AI (a GitHub organization) maintains it in Prismer-AI/PrismerCloud, which has 1,555 GitHub stars. The repository holds 88 skills in this directory. The repository was last updated on September 30, 2026.

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