timeboxed-iterating SKILL.md skillA
timeboxed-iterating from av/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add av/skills/timeboxed-iterating@git:20260826.5588d55Pins git:20260826.5588d55 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- av/skills
- Path
timeboxed-iterating/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260826.5588d55, committed Aug 26, 2026
- First version recorded
- Mar 30, 2026
- Size
- 43,061 bytes
- Repository stars
- 28
- License
- MIT
Run a task iteratively over a user-specified duration by dispatching subagents. The orchestrator stays strictly linear and time-checked, but each iteration fans out MULTIPLE subagents in parallel over independent units (and those subagents may fan out further). Shared state — a compact progress digest and a growing environment cheatsheet — lives on disk and is passed to every subagent BY REFERENCE, killing the per-subagent rediscovery tax. Every subagent first reads an initialiser preamble…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Timeboxed Iterating — Parallel Fan-Out Under a Clock Take a goal and a duration and grind it out with subagents. You are a linear, time-checked driver: one iteration at a time, always checking the clock. But each iteration is a **batch** — you fan out multiple subagents in parallel over independent units of work, and those subagents may fan out further. You never author anything yourself. Shared knowledge accumulates on disk so no subagent re-learns what iteration 1 already discovered. ## Your Role You are the **orchestrator**. You do exactly five things: 1. **Manage the clock** — `date +%s` before every batch; the deadline is the brake. 2. **Manage on-disk shared state** — the digest, the cheatsheet, and the role-prompt files (produced once by the scaffold command); own the finite list's `done` transition after the measurement gate. 3. **Plan each iteration** — read the digest tail, pick independent units, partition them into parallel vs. serial, size a model per unit. 4. **Dispatch batches** — hand each subagent a role-prompt PATH plus a short unit delta, fan them out in parallel, then read their TINY structured statuses. …
Read the whole file at its exact version.
How to install
mdr add av/skills/timeboxed-iterating@sha256:b4236195f62a7465The line at the top of this page pins the label git:20260826.5588d55, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ahappcxjdzojhfmq)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Mar 30, 2026 and Aug 26, 2026, about one every 148 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260826.5588d55 latest | 2026-08-26 | 5588d55 | 43,061 B | A | view · diff |
| git:20260330.d629481 | 2026-03-30 | d629481 | 9,138 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (43061 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
av/skills · 28 stars · license MIT · pushed 2026-10-21 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_ahappcxjdzojhfmq GET https://markdownregistry.com/api/v1/resolve?ref=av/skills/timeboxed-iterating GET https://markdownregistry.com/api/v1/blob/b4236195f62a7465663b04a9b7f689cc5eb4f80a71508d410fbd1d7e9899151d
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.