dispatch
Skill1 starsChanged 6 months agoMITView on GitHub
Convert a PRD into independently-grabbable GitHub issues using vertical slices. Use when the user wants to create issues from a PRD, break down a PRD into tasks, or create GitHub issues from requirements.
40 other projects use a version of this.
Adopted by
Most recently taken up by
- renzrollon/interlocktheir own version, first seen Nov 5, 2026
- dan-myles/skillstheir own version, first seen Nov 1, 2026
- bestony/skillstheir own version, first seen Nov 1, 2026
- AcKeskin/contexturetheir own version, first seen Nov 1, 2026
- mhlaghari/stuntmantheir own version, first seen Nov 1, 2026
- vu1n/pillboxtheir own version, first seen Oct 26, 2026
Used with
Projects with it also use edge-detection, odds-analysis and 8 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
noahowshSkilledge-detection
Comparing a tennis model's probability with the market: no-vig close, expected value at the best available price, closing line value, fractional Kelly sizing, and the checks that separate an estimated edge from noise. Use when the user has a probability and wants to know whether a price is better than fair, how large a stake is reasonable, or whether an edge is real. Requires a probability the user trusts. Do not use for fetching prices: see odds-explorer. Do not use for devig math alone: see odds-analysis. Do not use for historical testing: see backtesting.
Also in 4 projects that use this
noahowshSkillodds-analysis
Odds math for two-way tennis markets: American to implied probability, margin, devigging (multiplicative, power, Shin), no-vig fair odds, consensus across books, favorite-longshot bias, and expected value of a price. Use when the user asks what a price implies, how to remove the vig, what the true probability is, or how to compare books. Do not use for fetching or comparing live prices: see odds-explorer. Do not use for deciding a bet against a model: see edge-detection.
Also in 4 projects that use this
agiprolabsSkillwalk-forward-validation
Walk-forward validation framework for trading strategies and ML models with time-series-aware splits, overfit detection, and regime-aware validation
Also in 4 projects that use this
Yahmez3Skillbacktesting
Use when backtesting a trading strategy — evaluating a signal series against historical price data and computing performance metrics (Sharpe, Sortino, max drawdown, CAGR, win rate, expectancy). Triggers on "backtest this strategy", "what's the Sharpe on X", "run a walk-forward test", or "compare strategies A and B". Produces equity curves, trade logs, and tear sheets.
Also in 4 projects that use this
ffsshhttiikkSkillfeature-engineering
Machine learning feature engineering
Also in 4 projects that use this
varun29ankuSSkillorchestrate
This skill should be used when the user asks to 'orchestrate a task', 'break down work into parallel agents', 'coordinate subtasks', 'run agents in parallel', or mentions 'multi-agent'. Decomposes complex tasks into tracked subtasks, dispatches parallel subagents, and coordinates until completion.
Also in 4 projects that use this
- +3 more from noahowsh
Other versions40 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 40
- your-papa/obsidian-Smart2Brain★ 1.3ksame name
- s2b-dev/smart-second-brain★ 1.3ksame name
- bassimeledath/dispatch★ 411same name
- renzrollon/interlock★ 61same name
- fagemx/edda★ 36same name
- phj128/autoworker★ 18same name
- clonable-eden/cekernel★ 17same name
- mhlaghari/stuntman★ 16same name
- YippeeXuXu/dsh-collab-mode★ 5same name
- BigY0shi/super-skills★ 4same name
30 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.
In this repository13 other files it gives its agents.
- agent-cliSkill
- askSkill
- blueprintSkill
- brainstormSkill
- carveSkill
- handoffSkill
- improve-claude-mdSkill
- leanSkill
- llm-councilSkill
- orientSkill
- react-auditSkill
- shipSkill
- tddSkill
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 6 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 38 edited versions we read keep these.
6
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 16
Ask the user for the PRD GitHub issue number (or URL).
- Very specific: line 18
If the PRD is not already in your context window, fetch it with gh issue view <number> (with comments).
- Very specific: line 22
If available, review ./plans/ for related plan files and any prior session decisions to ensure issues align with established architectural …
- Distinctive: line 53
Should any slices be merged or split further?
- Distinctive: line 62
Create issues in dependency order (blockers first) so you can reference real issue numbers in the "Blocked by" field.
- Distinctive: line 64
Do NOT close or modify the parent PRD issue.
- Distinctive: line 68
Before creating GitHub issues, verify:
- Distinctive: line 73
If any check fails, inform the user and provide the fix command.
“Common” is measured: kept by at least 6 in 10 of the 38 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
Dispatch — PRD to Issues
Break a PRD into independently-grabbable GitHub issues using vertical slices (tracer bullets).
CLI tools — special case. If the PRD describes a command-line tool, suggest running
/agent-cliin design mode before issue creation. Locking flags, output formats, and error model up front prevents rework across the dependency-ordered slices.
Process
1. Locate the PRD
Ask the user for the PRD GitHub issue number (or URL).
If the PRD is not already in your context window, fetch it with gh issue view <number> (with comments).
2. Review existing context (optional)
If available, review ./plans/ for related plan files and any prior session decisions to ensure issues align with established architectural choices.
3. Draft vertical slices
Break the PRD into tracer bullet issues. Each issue is a thin vertical slice that cuts through ALL integration layers end-to-end, NOT a horizontal slice of one layer. Follow the rules in vertical-slice-rules.md.
Slices may be 'HITL' or 'AFK'. HITL slices require human interaction, such as an architectural decision or a design review. AFK slices can be implemented and merged without human interaction. Prefer AFK over HITL where possible.
Agent-loopable AC test — applied to every issue before creation:
Could an AFK agent picking up this issue tomorrow tell, by itself, whether the work is done — without asking anyone?
If the answer is no, the acceptance criteria are too weak. Sharpen them until each AC reduces to a test, an observable artifact, or a runnable command. AFK issues with vague ACs become HITL issues by accident — the agent stalls on "is this what you wanted?" and the parallelism collapses.
HITL issues are allowed subjective ACs, but the issue must be explicitly marked HITL and the subjective gate named ("design review by @owner before merge"). Don't ship a subjective AC under an AFK label.
Cut what wasn't asked. Every slice traces to a user story in the PRD. If a draft issue includes work outside the PRD ("also refactor X while we're here"), drop it or file it as a separate issue. The downstream /tdd agent will implement exactly what the issue says — including the unscoped extra.
4. Quiz the user
Present the proposed breakdown as a numbered list. For each slice, show:
- Title: short descriptive name
- Type: HITL / AFK
- Blocked by: which other slices (if any) must complete first
- User stories covered: which user stories from the PRD this addresses
Ask the user:
- Does the granularity feel right? (too coarse / too fine)
- Are the dependency relationships correct?
- Should any slices be merged or split further?
- Are the correct slices marked as HITL and AFK?
Iterate until the user approves the breakdown.
5. Create the GitHub issues
For each approved slice, create a GitHub issue using gh issue create. Use the template in issue-template.md.
Create issues in dependency order (blockers first) so you can reference real issue numbers in the "Blocked by" field.
Do NOT close or modify the parent PRD issue.
Prerequisites
Before creating GitHub issues, verify:
ghCLI is installed and authenticated (gh auth status)- Current directory is a git repo with a GitHub remote
- User has write access to the repository
If any check fails, inform the user and provide the fix command.
Does it work?
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- It worked
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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.

