weekly
Skill4 starsChanged 2 days agoMITView on GitHub
Weekly founder review. Measures the week from evidence (conversations, pilots, payments, what shipped for whom) and from the founder's agent prompt history (building vs tooling vs customer time), applies commit / sharpen / kill to each idea, and sets next week's single bottleneck. Use once a week (Monday), or when the user asks "how are we doing", "what should I focus on" or for a weekly review.
18 other projects use a version of this.
Adopted by
Most recently taken up by
- jzhao234/big-braintheir own version, first seen Nov 8, 2026
- saksham10arora-dotcom/everything-claude-codextheir own version, first seen Nov 8, 2026
- ChadPapineau/espn-fantasy-football-mcptheir own version, first seen Nov 1, 2026
- noahcostakes/claudebrain-templatetheir own version, first seen Oct 15, 2026
- gaiaaiagent/regen-heartbeattheir own version, first seen Oct 15, 2026
- pqmcgill/familytheir own version, first seen Oct 13, 2026
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Other versions18 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 18
- kv0906/pm-kit★ 138same name
- saksham10arora-dotcom/everything-claude-codex★ 74same name
- alirezarezvani/gaios★ 37same name
- iwe-org/dev-workspace★ 11same name
- matteo-stratega/claude-cortex★ 8same name
- iwe-org/marketing-workspace★ 5same name
- mhxie/Atelier★ 5same name
- fotoflo/claude-skills★ 2same name
- gaiaaiagent/regen-heartbeat★ 2same name
- KKenny0/Tracework★ 2same name
8 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 15 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 34
Default decision rule: commit when at least 3 target users show strong pull (a pilot, real data or access, payment, a letter of intent).
- Very specific: line 39
Read bottleneck.md, ideas.md and every file in evidence/.
- Very specific: line 61
Per idea: commit / sharpen / keep testing / kill, by the decision rule, with the reason.
“Common” is measured: kept by at least 6 in 10 of the 15 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/weekly: one honest page about the week
The founder hub
This skill reads and writes a founder hub: one folder holding the startup's truth.
- Location: the
FOUNDER_HUBenvironment variable, default~/founder. Below,<hub>means that folder. - Files this skill uses:
| File | What it holds |
<hub>/README.md | The decision rule and evidence rules. If missing, use the defaults below |
<hub>/bottleneck.md | The current bet, this week's single bottleneck, the goal and its deadline. This skill rewrites it |
<hub>/ideas.md | A table of candidate ideas: one line, who pays, evidence so far, status |
<hub>/evidence/ | One or more files per idea: conversation logs, prospects, pipeline, payments, metrics |
<hub>/weekly/<YYYY-MM-DD>.md | The weekly reviews this skill writes |
If the hub or a file is missing, say so and offer to create the minimal structure: the folder,
README.md with the rules below, an empty bottleneck.md (current bet, bottleneck, goal, deadline),
ideas.md with a table header (idea, one line, who pays, evidence so far, status), and empty
evidence/ and weekly/. An empty hub still gets a review: it says the week produced no evidence.
Never fail silently.
Default decision rule: commit when at least 3 target users show strong pull (a pilot, real data or access, payment, a letter of intent); sharpen when the pain is real but the framing or buyer is wrong; kill after about 15 targeted conversations with no strong pull. Compliments and "interesting" don't count. Default evidence rule: only what real people said or did, dated and sourced.
Read bottleneck.md, ideas.md and every file in evidence/.
1. Measure the week's attention from prompt history (optional)
python <this skill's folder>/scripts/attention.py 7It reads Claude Code's ~/.claude/history.jsonl and Codex's ~/.codex/history.jsonl if they exist
(pass other history files as extra arguments) and prints a keyword-based split: customer/selling,
fundraising, tooling/meta, fixing, building/other, plus the projects touched (Claude Code only). It's a
heuristic, about 80% accurate; report it as a rough split. If no history is found, or the harness keeps
none, skip this section and say so.
2. Write weekly/<YYYY-MM-DD>.md
- Evidence this week: conversations held; new strong-pull signals (pilot, data access, payment, letter of intent); sign-ups and usage; revenue. Numbers and names, from the evidence files only.
- Shipped: what shipped, and for which named user. Work that shipped with no user attached is listed separately.
- Attention: the prompt-history split and the projects touched. Call out tooling/meta above about 15%, and any new project started.
- Per idea: commit / sharpen / keep testing / kill, by the decision rule, with the reason. Update
ideas.md. - Next week's single bottleneck: one sentence, plus 3 concrete actions and what "done" looks like.
3. Update bottleneck.md
Rewrite it to match: current bet, the new bottleneck, goal, deadline. Keep any scope note the founder wrote there (for example which projects the hub does not govern). Then show the user the page, briefly. Be direct and specific. Don't cushion a zero.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

