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Agent skill

01 Sdlc

by ai-driven-dev in ai-driven-dev/framework

Autonomously orchestrates a request from framing to a draft pull request, isolating implementation, independent review, and final outcome challenge.

MITAuto-check passedDevelopment

Install 01 Sdlc

skills CLI
$ npx skills add ai-driven-dev/framework --skill 01-sdlc -a claude-code

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

GitHub CLI
$ gh skill install ai-driven-dev/framework 01-sdlc --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/ai-driven-dev/framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/aidd-orchestrator/skills/01-sdlc .claude/skills/01-sdlc && 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
01-sdlc
GitHub stars
510
Token cost
~583 tokens
SKILL.md length
171 words
Files
4 (incl. references)
Skills in repo
52
Repo updated
First seen
Licence
MIT

At a glance

Autonomously orchestrates a request from framing to a draft pull request, isolating implementation, independent review, and final outcome challenge.

  • The user wants to deliver a change end to end
  • SKILL.md covers Behavior, Say when this orchestration is… and References
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Pull requests

What it does

01 Sdlc is an agent skill from ai-driven-dev/framework. Autonomously orchestrates a request from framing to a draft pull request, isolating implementation, independent review, and final outcome challenge. Use when the user wants to deliver a change end to end. Not for running one development step.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/01-frame.md`, `references/02-deliver.md` and `references/03-check.md`).

It sits in Development, covering Pull requests. The repository describes itself as: Marketplace Framework AI-Driven Dev : Context Engineering, Plugins, Agents, Skills, Hooks, Templates, SDLC. The licence is MIT.

When your agent uses it

  • The user wants to deliver a change end to end
  • Tasks that involve Pull requests

Example prompts

  • “/01-sdlc”

What it can do on your machine

Read from SKILL.md and the folder at commit 6e30640. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are mermaid and bash).

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

  • Network

    No URLs in SKILL.md.

    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

01 Sdlc loads about 583 tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 171 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~583
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.2k

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 passed

The automated check found no risky patterns in SKILL.md.

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

The full file from ai-driven-dev/framework at commit 6e30640, republished under its MIT licence (© ai-driven-dev). 171 words, ~583 tokens.

Download SKILL.mdSave it as .claude/skills/01-sdlc/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
01-sdlc
description
Autonomously orchestrates a request from framing to a draft pull request, isolating implementation, independent review, and final outcome challenge. Use when the user wants to deliver a change end to end. Not for running one development step.
argument-hint
request

Skill: sdlc

Behavior

Operate autonomously from the request to a draft pull request: decide and act without confirmation, asking only before spending money, taking an irreversible action, or making a decision that requires user authority. Read only the current zone reference. Verify that every named provider is installed before calling it.

Spawn specialized agents for isolated work. Parallelize independent work when it is faster. Give each agent one focused task that a smaller model can execute. Repeat the responsible zone when delegated work returns an actionable gap.

mermaid
---
title: SDLC orchestration
---
flowchart TD
  subgraph FrameStage["01 Frame"]
    direction TB
    Request["$request"]
    Frame["01 Frame"]
  end

  subgraph DeliverStage["02 Deliver"]
    direction TB
    Deliver["02 Deliver"]
  end

  subgraph CheckStage["03 Check"]
    direction TB
    Check["03 Check"]
    PullRequest["$pull_request"]
  end

  Request --> Frame
  Frame --> Deliver
  Deliver --> Check
  Check --> PullRequest

  classDef artifact fill:#DCFCE7,stroke:#16A34A,color:#14532D,stroke-width:2px
  classDef zone fill:#F1F5F9,stroke:#64748B,color:#0F172A,stroke-width:2px

  class Request,PullRequest artifact
  class Frame,Deliver,Check zone

Say when this orchestration is over

Once the draft pull request exists, and only then, run:

shell
echo "aidd:step-end aidd-orchestrator:01-sdlc"

No host reports when an orchestration finished. A skill call's own result comes back in a tenth of a second, which is the dispatch and not the completion, so a measurement that never hears this ends the run at the next pause — and an orchestration is mostly pauses. Everything it drove afterwards then reads as work that belonged to nothing.

References

#Reference
01Frame
02Deliver
03Check

© ai-driven-dev, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in plugins/aidd-orchestrator/skills/01-sdlc of ai-driven-dev/framework.

  • SKILL.md
  • references/01-frame.md
  • references/02-deliver.md
  • references/03-check.md

Open the folder on GitHubat commit 6e30640

Compare with similar skills

01 Sdlc 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.

01 Sdlc compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
01 Sdlc this skillai-driven-dev/framework510—~583Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers296k5 repos~1.9kAutomated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Check PRonyx-dot-app/onyx32k2 repos~2.3kAutomated safety check: PassMIT
Understand Diff AnalysisEgonex-AI/Understand-Anything85k1 repos~1.4kAutomated safety check: PassMIT
PR Design DocOpenHands/OpenHands90k—~2.4kAutomated safety check: PassMIT

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  • PR Babysitter

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    32k GitHub starsUsed in 2 repos~2.3k tokens
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  • Understand Diff Analysis

    Egonex-AI/Understand-Anything

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More from ai-driven-dev/framework

All 52 skills in this repo

  • 00 Async Dev

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    Drive the async-dev pipeline from one entry point, whether setup, run, or review.

    510 GitHub stars~2.4k tokensUpdated today
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  • 01 Plan

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    Turn a request, ticket, or file into a phased implementation plan.

    510 GitHub stars~517 tokensUpdated today
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  • 02 Backlog

    ai-driven-dev/framework

    Orchestrates a product backlog end to end. An agent skill from ai-driven-dev/framework.

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  • 00 Onboard

    ai-driven-dev/framework

    Guide a project's journey through AIDD, from first setup to shipping a feature.

    510 GitHub stars~242 tokensUpdated today
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  • 01 Acceptance QA

    ai-driven-dev/framework

    Validate a reviewed candidate's observable behavior against its acceptance criteria and record short named videos as reviewer evidence.

    510 GitHub stars~434 tokensUpdated today
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  • 01 Brainstorm

    ai-driven-dev/framework

    Clarify a vague product or technical intent through natural discovery.

    510 GitHub stars~305 tokensUpdated today
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Categories

Questions about 01 Sdlc

What does 01 Sdlc do?

Autonomously orchestrates a request from framing to a draft pull request, isolating implementation, independent review, and final outcome challenge. 01 Sdlc is an agent skill from ai-driven-dev/framework. Autonomously orchestrates a request from framing to a draft pull request, isolating implementation, independent review, and final outcome challenge.

When should I use 01 Sdlc?

01 Sdlc fits situations like: the user wants to deliver a change end to end; tasks that involve Pull requests.

How do I install 01 Sdlc in Claude Code?

Run `npx skills add ai-driven-dev/framework --skill 01-sdlc -a claude-code`. Or copy the skill folder (plugins/aidd-orchestrator/skills/01-sdlc in ai-driven-dev/framework) into .claude/skills/01-sdlc in your project. Claude Code loads it when a task matches its description.

How do I install 01 Sdlc in Codex?

Run `npx skills add ai-driven-dev/framework --skill 01-sdlc -a codex`. Or copy the skill folder (plugins/aidd-orchestrator/skills/01-sdlc in ai-driven-dev/framework) into .agents/skills/01-sdlc in your project. Codex loads it when a task matches its description.

Can I use 01 Sdlc 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 ai-driven-dev/framework --skill 01-sdlc -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/01-sdlc, .gemini/skills/01-sdlc, .github/skills/01-sdlc and .opencode/skills/01-sdlc in your project.

What does 01 Sdlc need to run?

SKILL.md names no scripts, command-line tools or credentials: 01 Sdlc is instructions for the agent only.

Does 01 Sdlc access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is 01 Sdlc safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does 01 Sdlc use?

01 Sdlc is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does 01 Sdlc use?

About 583 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.

What are the alternatives to 01 Sdlc?

Skills that share tags, products or a category with 01 Sdlc: Finishing a Development Branch (obra/superpowers, 296k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars), Check PR (onyx-dot-app/onyx, 32k stars) and Understand Diff Analysis (Egonex-AI/Understand-Anything, 85k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains 01 Sdlc?

ai-driven-dev (a GitHub organization) maintains it in ai-driven-dev/framework, which has 510 GitHub stars. The repository holds 52 skills in this directory. The repository was last updated on October 7, 2026.

Source: ai-driven-dev/framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.