agentleFS
atgreenatgreen/hackinator/skills/planning/SKILL.md

planning

Skill1 starsChanged 3 months agoMITView on GitHub

Use after a design is approved and before implementing anything architectural — turning an agreed direction into an ordered, testable set of tasks. "write a plan", "break this down", "what are the steps", "plan the implementation". Not for the understand-and-get-buy-in step before a design exists — that's shaping

69 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use Problem-Solving Techniques, executing and 10 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.
  • truongtv22Skill

    Problem-Solving Techniques

    Apply systematic problem-solving techniques for complexity spirals (simplification cascades), innovation blocks (collision-zone thinking), recurring patterns (meta-pattern recognition), assumption constraints (inversion exercise), scale uncertainty (scale game), and dispatch when stuck. Techniques derived from Microsoft Amplifier project patterns adapted for immediate application.

    Also in 5 projects that use this

  • LucasDuysSkill

    executing

    Autonomous task implementation workflow — implement, test, review, commit for each task in the frontier

    Also in 3 projects that use this

  • mrgoonieSkill

    web-frameworks

    Build modern full-stack web applications with Next.js (App Router, Server Components, RSC, PPR, SSR, SSG, ISR), Turborepo (monorepo management, task pipelines, remote caching, parallel execution), and RemixIcon (3100+ SVG icons in outlined/filled styles). Use when creating React applications, implementing server-side rendering, setting up monorepos with multiple packages, optimizing build performance and caching strategies, adding icon libraries, managing shared dependencies, or working with TypeScript full-stack projects.

    Also in 5 projects that use this

  • mrgoonieSkill

    mcp-management

    Manage Model Context Protocol (MCP) servers - discover, analyze, and execute tools/prompts/resources from configured MCP servers. Use when working with MCP integrations, need to discover available MCP capabilities, filter MCP tools for specific tasks, execute MCP tools programmatically, access MCP prompts/resources, or implement MCP client functionality. Supports intelligent tool selection, multi-server management, and context-efficient capability discovery.

    Also in 5 projects that use this

  • renathoazSkill

    verifying

    Verify work before claiming done.

    Also in 3 projects that use this

  • truongtv22Skill

    mobile-development

    Build modern mobile applications with React Native, Flutter, Swift/SwiftUI, and Kotlin/Jetpack Compose. Covers mobile-first design principles, performance optimization (battery, memory, network), offline-first architecture, platform-specific guidelines (iOS HIG, Material Design), testing strategies, security best practices, accessibility, app store deployment, and mobile development mindset. Use when building mobile apps, implementing mobile UX patterns, optimizing for mobile constraints, or making native vs cross-platform decisions.

    Also in 4 projects that use this

  • +6 more from mrgoonie

The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 62 edited versions we read keep these.

  • 5

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Core principle: Write the plan for an implementer with zero context, questionable taste, and no instinct to test — whether that is a fresh …

    line 10
  2. Distinctive:

    Before tasks, lay out the pieces: what files/modules exist, each with one responsibility.

    line 19
  3. Distinctive:

    Check the plan against the approved design:

    line 57
  4. Distinctive:

    Tasks too big to review: If a task can't be checked in one sitting, split it.

    line 68
  5. Distinctive:

    A plan nobody can act on without you: If the implementer would have to ask you a question, answer it *in the plan* first.

    line 71

“Common” is measured: kept by at least 6 in 10 of the 62 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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Planning

Overview

Core principle: Write the plan for an implementer with zero context, questionable taste, and no instinct to test — whether that is a fresh subagent, you after compaction, or you at 2am. Everything the implementer needs is in the plan; nothing lives only in your head or the chat.

A good plan turns a design into a sequence of tasks that each end in something you can run and check. It is the bridge between shaping (what & why) and the build (how).

Map the Structure First

Before tasks, lay out the pieces: what files/modules exist, each with one responsibility. A clear structure makes the tasks fall out naturally. If you can't name a piece cleanly, the design isn't settled — go back to shaping (and see naming-as-design).

Right-Size the Tasks

  • A task is the smallest chunk worth a reviewer's gate — it ends in an independently testable, runnable deliverable. Not "build the parser" (too big); not "add a semicolon" (too small).
  • Inside a task, steps are bite-sized (a couple of minutes each), test-first where it's keeper code.
  • Each task names its interfaces: what it consumes and what it produces, with the actual signatures — not "a function that parses input" but the real name, args, and return shape.

No Placeholders

IF THE PLAN SAYS "TBD" OR "SIMILAR TO ABOVE", IT ISN'T A PLAN YET

Ban "add error handling", "etc.", "TBD", "like task 2". Write the real thing. A placeholder is a decision you're pushing onto someone with less context than you have right now. Repeat real code rather than referencing it vaguely.

File It As Beads

The plan is not a document that rots in a folder — it's beads (using-beads):

bd create "Parser: tokenize input" -t task -p 1
bd create "Parser: build AST"      -t task -p 1 --deps blocked-by:<tokenize-id>

Record dependencies so bd ready surfaces exactly what's buildable next. The same graph supports one inline implementer or, when the host permits and tasks are independent, a fan-out of implementers (dispatching-subagents) without collisions. For a larger effort, also keep a short plan note in the repo; for most work, the beads are the plan.

Self-Review Before Handing Off

Check the plan against the approved design:

  • Coverage — every part of the design maps to a task; nothing designed is unplanned.
  • No placeholders — every task is concrete enough to implement blind.
  • Interfaces line up — what one task produces is what the next consumes, names and shapes matching.

Then pick an execution mode the host permits. Fan out fresh implementers only when independent work and saved wall-clock justify it (dispatching-subagents); otherwise work the dependency order inline. The plan must be equally actionable in either mode.

Common Mistakes

  • Tasks too big to review. If a task can't be checked in one sitting, split it.
  • Vague interfaces. "Passes the data along" hides the exact mismatch that will bite in integration. Write signatures.
  • Planning what won't be built. YAGNI applies here too — don't plan the speculative feature shaping already cut.
  • A plan nobody can act on without you. If the implementer would have to ask you a question, answer it in the plan first.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.