Agent skill

Agentic Design Session

by PackmindHub in PackmindHub/packmind

Turn a framed feature into an append-only decision log: every design fork made explicit, with the reasoning and the alternatives that were rejected and why.

Apache-2.0Auto-check passedDevelopment

Install Agentic Design Session

skills CLI
$ npx skills add PackmindHub/packmind --skill agentic-design-session -a claude-code

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

GitHub CLI
$ gh skill install PackmindHub/packmind agentic-design-session --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/PackmindHub/packmind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/agentic-design-session .claude/skills/agentic-design-session && 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
agentic-design-session
GitHub stars
317
Token cost
~1.7k tokens
SKILL.md length
1,042 words
Files
1
Skills in repo
35
Repo updated
First seen
Licence
Apache-2.0

At a glance

Turn a framed feature into an append-only decision log: every design fork made explicit, with the reasoning and the alternatives that were rejected and why.

  • An implementation reveals an earlier decision was wrong and needs superseding
  • SKILL.md covers Why the rejected alternatives…, Hard rules, How to run the conversation and When to stop deciding, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Architecture decision records

What it does

Agentic Design Session is an agent skill from PackmindHub/packmind. Turn a framed feature into an append-only decision log: every design fork made explicit, with the reasoning and the alternatives that were rejected and why. Use after agentic-feature-framing has produced a charter, and before any implementation starts. Also use when an implementation reveals an earlier decision was wrong and needs superseding. Produces .claude/features/<slug/decisions.md, and closes by sizing the feature into the Size and sessions section of the charter — the call on whether the orchestrator runs…

Its SKILL.md is about 1.7k 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 Development, covering Architecture decision records. The repository describes itself as: Packmind seamlessly captures your engineering playbook and turns it into AI context, guardrails, and governance. The licence is Apache-2.0.

When your agent uses it

  • An implementation reveals an earlier decision was wrong and needs superseding
  • Tasks that involve Architecture decision records

Example prompts

  • “/agentic-design-session”

What it can do on your machine

Read from SKILL.md and the folder at commit 8a10541. 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.

    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

Agentic Design Session loads about 1.7k tokens when it runs. Until then it costs about 163 tokens; SKILL.md has 1,042 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~163
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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 PackmindHub/packmind at commit 8a10541, republished under its Apache-2.0 licence (© PackmindHub). 1,042 words, ~1,722 tokens.

Download SKILL.mdSave it as .claude/skills/agentic-design-session/SKILL.md (or your agent's skills folder).
name
agentic-design-session
description
Turn a framed feature into an append-only decision log: every design fork made explicit, with the reasoning and the alternatives that were rejected and why. Use after agentic-feature-framing has produced a charter, and before any implementation starts. Also use when an implementation reveals an earlier decision was wrong and needs superseding. Produces .claude/features/<slug>/decisions.md, and closes by sizing the feature into the Size and sessions section of the charter — the call on whether the orchestrator runs it in one pass or several. No code, no other file edits. This is phase 1b of the agentic development pipeline.

Design session

You are settling how, and recording it so it survives. The main output is .claude/features/<slug>/decisions.md, from .claude/pipeline/decision-log.template.md. Read the charter first.

You also close by filling one section of the charter — Size and sessions — and that is the only edit you may make outside the decision log. It is the last step of this skill, described at the bottom.

Why the rejected alternatives matter more than the decisions

An orchestrator will re-encounter every fork you settle here when it writes specs, weeks of context later. Given only the decision, it does one of two things: re-opens the question, or contradicts it without noticing. Given the decision plus why the obvious alternative was rejected, it recognises the fork and moves on.

So a Rejected bullet with no reason is worth nothing. "We rejected polling" is not a record; "we rejected polling because the p99 gap has to stay under a second and the poll interval that allows would cost more than the socket" is.

The same applies when you turn out to be wrong. A superseded decision keeps its reasoning in the file, because the reason it looked right is exactly what stops someone re-proposing it in three weeks.

Hard rules

  • Write no code. Types, signatures and schemas are decisions, and you may quote a signature in a decision. You may not implement one.
  • Edit no file but the decision log, and the charter's Size and sessions section at the close. Nothing else in the charter is yours to touch — if framing got a criterion wrong, say so and let the user reopen phase 1a.
  • Append only. Never rewrite a decided entry. To change one, add a new entry with supersedes: D-00n, and append superseded-by: to the old one. That one line is the only permitted mutation.
  • Never leave a fork implicit. If you notice yourself assuming something, that assumption is a decision, and it goes in the log.

How to run the conversation

Surface the assumptions first. Before proposing anything, say out loud what the charter appears to take for granted. Most bad designs are not chosen; they are inherited from an unexamined premise. Ask about each one.

Give a recommendation, then argue against it. Not a survey of options — a position, and then the strongest case you can make for the alternative. If the counter-case wins, that is the session working. Record whichever loses, with the reason it lost.

Challenge the user's first answer once, properly. Not to be difficult: the first design is usually the one that fits the problem as stated, and framing is never quite right. One serious push per fork, then take the answer.

Set user-visible on every entry. Yes when the decision changes something a user can observe — a behaviour, a default, a limit, an error message. This is what tells the documentation pass later which decisions need surfacing, and it cannot be recovered afterwards.

Write Constrains implementation as an instruction to a stranger. That line gets quoted verbatim into subagent prompts, in front of a model that has read nothing else — not the charter, not the rest of the log, not this conversation. If it only makes sense in context, it is not written yet.

Resolve or deliberately defer every known unknown in the charter. A deferred unknown needs a note saying who decides it and when. Silence is not deferral.

When to stop deciding

Stop when every acceptance criterion has enough decided that a unit could be specced against it without a judgement call, and every known unknown is either decided or explicitly deferred.

Do not try to decide everything. Decisions that only matter inside one unit belong to that unit — over-deciding here wastes the session on forks whose context will have changed by the time they run. The test is not "is everything settled", it is "could a stranger implement any AC from this log without guessing?"

Show full SKILL.md (394 more words)Show less

Then size it — the last step, and do not skip it

Framing said what. You said how. Only now is the size of the work knowable, and this is the point of having had both conversations: to decide, before any code exists, whether this goes to the orchestrator in one run or in several. Write the answer into the charter's Size and sessions.

The unit count is a rough read, and it stays rough. Units are never enumerated in advance — that is the whole cost argument behind the pipeline. You are estimating an order of magnitude from the decided design: roughly how many places have to change, and how many of those changes are independent. A range.

Then give the verdict. One session or split. Reasons to split:

SignalWhy it wants its own session
A deferred unknown sits mid-featureEverything past it would be specced on a guess
One subset is releasable on its ownA run that ends somewhere a human wants to look
A late AC depends on the shape of an early oneThe design of S2 is genuinely better informed by S1 having landed
The unit count is large enough that the orchestrator's own context is the riskIts judgement is what degrades, and it is the one part with no gate

Reasons that are not reasons to split: the feature feels big, the feature touches several packages, a unit looks hard. Unit size is phase 2's problem and it splits units by itself, on evidence, when a tier ladder is exhausted.

A split is not a re-framing. Every session runs against the same charter and the same decision log. You are cutting the run, not the feature — so name the cut by ACs, say what each session lands, and say which depends on which.

Say it out loud too. The verdict is a call about how the user spends the next few days, and it belongs in the conversation, not only in a file.

Mid-implementation use

The orchestrator appends decisions itself when a unit blocks on a fork that sits inside the charter's scope. Invoke this skill when the harder case comes up: an implementation revealed a decision was wrong, not merely absent. Supersede it, and record what the implementation taught you in the new entry's reasoning — that is the most valuable kind of entry in the file.

© PackmindHub, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/agentic-design-session of PackmindHub/packmind.

Open the folder on GitHubat commit 8a10541

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Agentic Design Session 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.

Agentic Design Session compared with similar skills
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Agentic Design Session this skillPackmindHub/packmind317—~1.7kAutomated safety check: PassApache-2.0
PR Design DocOpenHands/OpenHands90k—~2.4kAutomated safety check: PassMIT
Cto AdvisorIbrahim-3d/orchestrator-supaconductor3804 repos~2.4kAutomated safety check: PassMIT
Improve Codebase Architectureywwynm/EverythingDone14415 repos~1.3kAutomated safety check: PassGPL-3.0
Domain Modelingbrim-borium/spotify_sdk1665 repos~806Automated safety check: PassApache-2.0
Design Doc MermaidSpillwaveSolutions/design-doc-mermaid1751 repos~5.6kAutomated safety check: PassNone

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Categories

Questions about Agentic Design Session

What does Agentic Design Session do?

Turn a framed feature into an append-only decision log: every design fork made explicit, with the reasoning and the alternatives that were rejected and why. Agentic Design Session is an agent skill from PackmindHub/packmind. Turn a framed feature into an append-only decision log: every design fork made explicit, with the reasoning and the alternatives that were rejected and why.

When should I use Agentic Design Session?

Agentic Design Session fits situations like: an implementation reveals an earlier decision was wrong and needs superseding; tasks that involve Architecture decision records.

How do I install Agentic Design Session in Claude Code?

Run `npx skills add PackmindHub/packmind --skill agentic-design-session -a claude-code`. Or copy the skill folder (.claude/skills/agentic-design-session in PackmindHub/packmind) into .claude/skills/agentic-design-session in your project. Claude Code loads it when a task matches its description.

How do I install Agentic Design Session in Codex?

Run `npx skills add PackmindHub/packmind --skill agentic-design-session -a codex`. Or copy the skill folder (.claude/skills/agentic-design-session in PackmindHub/packmind) into .agents/skills/agentic-design-session in your project. Codex loads it when a task matches its description.

Can I use Agentic Design Session 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 PackmindHub/packmind --skill agentic-design-session -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentic-design-session, .gemini/skills/agentic-design-session, .github/skills/agentic-design-session and .opencode/skills/agentic-design-session in your project.

What does Agentic Design Session need to run?

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

Does Agentic Design Session 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 Agentic Design Session 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 Agentic Design Session use?

Agentic Design Session is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agentic Design Session use?

About 1.7k tokens (SKILL.md is roughly 6.9k 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 Agentic Design Session?

Skills that share tags, products or a category with Agentic Design Session: PR Design Doc (OpenHands/OpenHands, 90k stars), Cto Advisor (Ibrahim-3d/orchestrator-supaconductor, 380 stars), Improve Codebase Architecture (ywwynm/EverythingDone, 144 stars) and Domain Modeling (brim-borium/spotify_sdk, 166 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agentic Design Session?

PackmindHub (a GitHub organization) maintains it in PackmindHub/packmind, which has 317 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 8, 2026.

Source: PackmindHub/packmind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.