Chalk Labs
Need help deploying loop-me?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/olivierfortier-loop-me
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/loop-me
What's inside
- Skill name
loop-me- Description
- Spec the workflows you want to build
- License
- MIT
- Instructions
- 31 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
Run a stateful `[$matt-workflow:grilling](../grilling/SKILL.md)` session whose only output is **workflow** specs. Use the grilling discipline — relentless, a round of questions at a time, a recommended answer attached to each — aimed at the vocabulary and goal below. Create, edit, and delete specs as the grilling resolves things. ## The loop lens A **loop** is a recurring pattern in the user's life: their career, their week, their morning, a single repeated activity. Picturing a life as loops within loops reveals how predictable its activities really are — which is what makes them worth **delegating**. Use the lens to find loops worth specifying, and propose ones the user hasn't noticed. A **workflow** is the spec of one loop, made real. You run a workflow on a loop — the loop is its running instantiation. Workflows live in `workflows/*.md` and are the source of truth. ## Vocabulary A shared language, reached for only when a workflow calls for it — never a checklist. **Mandate nothing structural**: a workflow needs no AI, no checkpoint, and no schedule unless the grilling shows it does. - **Trigger** — what fires each run: an **event** (a new email, a new issue) or a **schedule** (every morning). Event-triggering is usually the more efficient. - **Checkpoint** — a human-in-the-loop point where the user is asked to verify or decide. Some workflows have none and run autonomously; some use no AI at all. - **Push right** — defer the checkpoint as far as it will go. Do maximal work before involving the human, so they are asked once, late, with everything prepared. - **Brief** — what a checkpoint presents: a tight, decision-ready summary — what was produced, why, and a link down to the asset itself — never the raw output. The user reads a brief, not a draft. Speed of review is imperative. ## Definition of done A workflow spec is done when an implementer agent could build it without asking a single question. Grill until then; nothing is done while a question remains. ## The workspace - `workflows/*.md` — one spec per workflow. - `NOTES.md` — raw notes on the user's world: the tools they use, the channels they process, and their own terminology for both. When it is empty or thin, interview them about their world before specifying anything. Sharpen fuzzy terms into canonical ones as they surface, and record them here. > **Experimental:** This in-progress skill is pinned at `bb8fdc3fd12ce9729bb61f0885f51a420c3275ac`. Announce that status before use. > **Subflow:** Continue through this skill's completion criterion, then return to the caller.
From OlivierFortier/mattpocock-superpowers, MIT.
More from OlivierFortier/mattpocock-superpowers
- 0.521score
using-matt-workflow
OlivierFortier
Route non-trivial software delivery, foggy initiatives, recurring workflow design, manual setup or migration, and stakeholder questionnaires in human-gated or…
SkillBFreshness: BClaude Code +9 - 0.515score
to-spec
OlivierFortier
Turn a conversation into a spec
SkillBFreshness: BClaude Code +9 - 0.515score
to-tickets
OlivierFortier
Split a plan into tracer-bullet tickets
SkillBFreshness: BClaude Code +9 - 0.515score
to-questionnaire
OlivierFortier
Front-load questions into a doc for someone to answer
SkillBFreshness: BClaude Code +9 - 0.515score
code-review
OlivierFortier
Review a diff on standards and spec
SkillBFreshness: BClaude Code +9 - 0.515score
grilling
OlivierFortier
Stress-test thinking a round of questions at a time
SkillBFreshness: BClaude Code +9 - 0.515score
wizard
OlivierFortier
Generate an interactive setup wizard
SkillBFreshness: BClaude Code +9 - 0.515score
prototype
OlivierFortier
Prototype to answer a design question
SkillBFreshness: BClaude Code +9 - 0.515score
wayfinder
OlivierFortier
Map a large effort as decision tickets
SkillBFreshness: BClaude Code +9 - 0.515score
tdd
OlivierFortier
Test-driven red-green-refactor
SkillBFreshness: BClaude Code +9 - 0.515score
setup-matt-pocock-skills
OlivierFortier
Configure a repo for the skills
SkillBFreshness: BClaude Code +9 - 0.466score
finishing-a-development-branch
OlivierFortier
Safely finish and integrate a development branch
SkillCFreshness: CClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 6, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from OlivierFortier
- 0.521score
using-matt-workflow
OlivierFortier
Route non-trivial software delivery, foggy initiatives, recurring workflow design, manual setup or migration, and stakeholder questionnaires in human-gated or…
SkillBFreshness: BClaude Code +9 - 0.515score
setup-matt-pocock-skills
OlivierFortier
Configure a repo for the skills
SkillBFreshness: BClaude Code +9 - 0.515score
grilling
OlivierFortier
Stress-test thinking a round of questions at a time
SkillBFreshness: BClaude Code +9 - 0.515score
to-questionnaire
OlivierFortier
Front-load questions into a doc for someone to answer
SkillBFreshness: BClaude Code +9 - 0.515score
prototype
OlivierFortier
Prototype to answer a design question
SkillBFreshness: BClaude Code +9 - 0.515score
tdd
OlivierFortier
Test-driven red-green-refactor
SkillBFreshness: BClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get loop-me running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
loop-me skill. Agent Mart. https://agentmart.dev/skills/olivierfortier-loop-me (last updated 2026-10-24)