Agent skill

02 Backlog

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

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

MITAuto-check passed

Install 02 Backlog

skills CLI
$ npx skills add ai-driven-dev/framework --skill 02-backlog -a claude-code

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

GitHub CLI
$ gh skill install ai-driven-dev/framework 02-backlog --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/02-backlog .claude/skills/02-backlog && 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
02-backlog
GitHub stars
510
Token cost
~613 tokens
SKILL.md length
202 words
Files
15 (incl. references)
Skills in repo
52
Repo updated
First seen
Licence
MIT

At a glance

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

  • The user wants to ask what it holds
  • SKILL.md covers Actions, Transversal rules and Say when this orchestration is…
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Lifecycle events

What it does

02 Backlog is an agent skill from ai-driven-dev/framework. Orchestrates a product backlog end to end. Use when the user wants to ask what it holds, or to run intake, triage, refinement, review, lifecycle events, ordering, health checks, or repair. Not for one known artifact step.

Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including reference files (for example `actions/01-inspect.md`, `actions/02-triage.md` and `actions/03-review.md`).

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 ask what it holds
  • Lifecycle events

Example prompts

  • “Use the 02-backlog skill to orchestrate a product backlog end to end. An agent skill from ai-driven-dev/framework”
  • “/02-backlog”

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

02 Backlog loads about 613 tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 202 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~58
When it runs · the whole SKILL.md, loaded when a task matches
~613
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.9k

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). 202 words, ~613 tokens.

Download SKILL.mdSave it as .claude/skills/02-backlog/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.
name
02-backlog
description
Orchestrates a product backlog end to end. Use when the user wants to ask what it holds, or to run intake, triage, refinement, review, lifecycle events, ordering, health checks, or repair. Not for one known artifact step.
argument-hint
ask | create | manage | review | refine

Backlog

mermaid
flowchart LR
  intent([ask, create, manage, review, or refine]) --> inspect
  inspect -->|"ask"| answer([answer from the read model])
  inspect -->|"create"| triage --> route
  inspect -->|"manage"| route
  inspect -->|"refine"| assess
  inspect -->|"review"| review
  route --> decide
  assess --> decide
  review --> decide
  decide -->|"revise"| route
  decide -->|"no change"| done
  decide -->|"authorize"| apply --> verify
  verify -->|"invalid"| route
  verify -->|"coherent"| done([backlog])

Actions

Run the flow above. Read only the next action file.

ActionDoes
inspectresolve the scope, event, and authority
triageclassify intake and detect existing work
reviewfind actionable backlog health improvements
routedelegate proposed artifact changes
assesschallenge refinement from three viewpoints
decidereconcile proposals and confirm authority
applydelegate authorized writes
verifyprove the resulting graph is coherent

Transversal rules

  • Keep product, lifecycle, and backlog decisions with the user.
  • Delegate artifact work to its owning capability, resolved by purpose and verified as installed before delegating.
  • Store each relation once, in its owning artifact.
  • Ask natural questions; never expose internal routes, checks, or unchanged state.
  • Change only authorized artifacts and fields.

Say when this orchestration is over

Once the flow has reached done — an answer given, no change needed, or verify reporting a coherent graph, and only then, run:

shell
echo "aidd:step-end aidd-orchestrator:02-backlog"

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.

© 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 14 other files (references) in plugins/aidd-orchestrator/skills/02-backlog of ai-driven-dev/framework.

  • SKILL.md
  • actions/01-inspect.md
  • actions/02-triage.md
  • actions/03-review.md
  • actions/04-route.md
  • actions/05-assess.md
  • actions/06-decide.md
  • actions/07-apply.md
  • actions/08-verify.md
  • references/change-set.md
  • references/events.md
  • references/intake.md
  • references/modes.md
  • references/review.md
  • references/supports.md

Open the folder on GitHubat commit 6e30640

Compare with similar skills

02 Backlog 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.

02 Backlog compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
02 Backlog this skillai-driven-dev/framework510—~613Automated safety check: PassMIT
Team Agent Orchestrationaffaan-m/ECC274k1 repos~1.2kAutomated safety check: PassMIT
Orca Orchestrationstablyai/orca87k—~916Automated safety check: PassMIT
Agent Orchestrator Taskruvnet/ruflo74k3 repos~1kAutomated safety check: PassMIT
Plan Orchestrateaffaan-m/ECC274k1 repos~4.5kAutomated safety check: PassMIT
Orchestratesickn33/agentic-awesome-skills47k1 repos~692Automated safety check: PassMIT

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Questions about 02 Backlog

What does 02 Backlog do?

Orchestrates a product backlog end to end. An agent skill from ai-driven-dev/framework. 02 Backlog is an agent skill from ai-driven-dev/framework. Orchestrates a product backlog end to end.

When should I use 02 Backlog?

02 Backlog fits situations like: the user wants to ask what it holds; lifecycle events.

How do I install 02 Backlog in Claude Code?

Run `npx skills add ai-driven-dev/framework --skill 02-backlog -a claude-code`. Or copy the skill folder (plugins/aidd-orchestrator/skills/02-backlog in ai-driven-dev/framework) into .claude/skills/02-backlog in your project. Claude Code loads it when a task matches its description.

How do I install 02 Backlog in Codex?

Run `npx skills add ai-driven-dev/framework --skill 02-backlog -a codex`. Or copy the skill folder (plugins/aidd-orchestrator/skills/02-backlog in ai-driven-dev/framework) into .agents/skills/02-backlog in your project. Codex loads it when a task matches its description.

Can I use 02 Backlog 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 02-backlog -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/02-backlog, .gemini/skills/02-backlog, .github/skills/02-backlog and .opencode/skills/02-backlog in your project.

What does 02 Backlog need to run?

SKILL.md names no scripts, command-line tools or credentials: 02 Backlog is instructions for the agent only.

Does 02 Backlog 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 02 Backlog 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 02 Backlog use?

02 Backlog 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 02 Backlog use?

About 613 tokens (SKILL.md is roughly 2.5k 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 1.2k tokens, read only when the agent opens those files.

What are the alternatives to 02 Backlog?

Skills that share tags, products or a category with 02 Backlog: Team Agent Orchestration (affaan-m/ECC, 274k stars), Orca Orchestration (stablyai/orca, 87k stars), Agent Orchestrator Task (ruvnet/ruflo, 74k stars) and Plan Orchestrate (affaan-m/ECC, 274k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains 02 Backlog?

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.