Agent skill

Incremental Implementation

by skuramatata in skuramatata/my-pi-agent

A skill your agent uses when implementing my-pi-agent changes that touch multiple files, runtime orchestration, executors, prompt-engine, memory/state, MCP/OpenCode config, channel behavior…

No licenceAuto-check: notesAgent Workflows

Install Incremental Implementation

skills CLI
$ npx skills add skuramatata/my-pi-agent --skill incremental-implementation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install skuramatata/my-pi-agent incremental-implementation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/skuramatata/my-pi-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.opencode/skills/incremental-implementation .claude/skills/incremental-implementation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
incremental-implementation
GitHub stars
114
Token cost
~791 tokens
SKILL.md length
361 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses when implementing my-pi-agent changes that touch multiple files, runtime orchestration, executors, prompt-engine, memory/state, MCP/OpenCode config, channel behavior…

  • Works in 5 steps: Choose the smallest useful slice. → Edit inside the existing boundary. → Add or adjust the narrowest verification. → …
  • Implementing my-pi-agent changes that touch multiple files
  • SKILL.md covers Increment Loop, my-pi-agent Guardrails and Done Criteria
  • Calls pnpm, git and opencode

What it does

Incremental Implementation is an agent skill from skuramatata/my-pi-agent. Use when implementing my-pi-agent changes that touch multiple files, runtime orchestration, executors, prompt-engine, memory/state, MCP/OpenCode config, channel behavior, web-console/desktop UI, or cross-package contracts. Trigger for 实现、改代码、重构、多文件改动、增量交付。

Its SKILL.md is about 790 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Task breakdown. It works with Model Context Protocol and pnpm.

When your agent uses it

  • Implementing my-pi-agent changes that touch multiple files
  • Runtime orchestration
  • MCP/OpenCode config
  • Channel behavior

Example prompts

  • “/incremental-implementation”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Choose the smallest useful slice.
  2. Edit inside the existing boundary.
  3. Add or adjust the narrowest verification.
  4. Run the closest check before expanding.
  5. Inspect the diff before the next slice.

What it can do on your machine

Read from SKILL.md and the folder at commit ed83ff1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pnpm
    • git
    • opencode

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pnpm and git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Incremental Implementation loads about 791 tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 361 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~791

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:47
    - Do not commit `.env`, `memory/`, `.opencode/opencode.json`, generated desktop/web-console output, or other private loc

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 361 words (~791 tokens).

“Use this skill after scope is understood and before writing a multi-file my-pi-agent change.”

— opening of SKILL.md by skuramatata
name
incremental-implementation

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .opencode/skills/incremental-implementation of skuramatata/my-pi-agent.

Open the folder on GitHubat commit ed83ff1

Compare with similar skills

Incremental Implementation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Incremental Implementation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Incremental Implementation this skillskuramatata/my-pi-agent114—~791Automated safety check: NotesNone
MemPalace Task HandoffMemPalace/mempalace59k—~1.9kAutomated safety check: PassMIT
agtx One-Shot Project Runnerfynnfluegge/agtx1.7k—~3.8kAutomated safety check: PassApache-2.0
Agtx Task Sweepfynnfluegge/agtx1.7k—~1.7kAutomated safety check: PassApache-2.0
OMA Multi-Agent Orchestratorfirst-fluke/oh-my-agent1.3k—~3.1kAutomated safety check: PassMIT
Long Horizon ExecutionRoboClaw-Robotics/RoboClaw166—~1.9kAutomated safety check: PassNone

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Categories

Questions about Incremental Implementation

What does Incremental Implementation do?

A skill your agent uses when implementing my-pi-agent changes that touch multiple files, runtime orchestration, executors, prompt-engine, memory/state, MCP/OpenCode config, channel behavior…. Incremental Implementation is an agent skill from skuramatata/my-pi-agent. Use when implementing my-pi-agent changes that touch multiple files, runtime orchestration, executors, prompt-engine, memory/state, MCP/OpenCode config, channel behavior, web-console/desktop UI, or cross-package contracts.

When should I use Incremental Implementation?

Incremental Implementation fits situations like: implementing my-pi-agent changes that touch multiple files; runtime orchestration; MCP/OpenCode config; channel behavior.

How do I install Incremental Implementation in Claude Code?

Run `npx skills add skuramatata/my-pi-agent --skill incremental-implementation -a claude-code`. Or copy the skill folder (.opencode/skills/incremental-implementation in skuramatata/my-pi-agent) into .claude/skills/incremental-implementation in your project. Claude Code loads it when a task matches its description.

How do I install Incremental Implementation in Codex?

Run `npx skills add skuramatata/my-pi-agent --skill incremental-implementation -a codex`. Or copy the skill folder (.opencode/skills/incremental-implementation in skuramatata/my-pi-agent) into .agents/skills/incremental-implementation in your project. Codex loads it when a task matches its description.

Can I use Incremental Implementation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add skuramatata/my-pi-agent --skill incremental-implementation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/incremental-implementation, .gemini/skills/incremental-implementation, .github/skills/incremental-implementation and .opencode/skills/incremental-implementation in your project.

What does Incremental Implementation need to run?

Going by SKILL.md and its folder, Incremental Implementation needs the command-line tools its instructions call (pnpm, git and opencode).

Does Incremental Implementation access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Incremental Implementation safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Incremental Implementation use?

No licence was found for Incremental Implementation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Incremental Implementation use?

About 791 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Incremental Implementation?

Skills that share tags, products or a category with Incremental Implementation: MemPalace Task Handoff (MemPalace/mempalace, 59k stars), agtx One-Shot Project Runner (fynnfluegge/agtx, 1.7k stars), Agtx Task Sweep (fynnfluegge/agtx, 1.7k stars) and OMA Multi-Agent Orchestrator (first-fluke/oh-my-agent, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Incremental Implementation?

skuramatata (a GitHub user) maintains it in skuramatata/my-pi-agent, which has 114 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on July 10, 2026.

Source: skuramatata/my-pi-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.