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Draft Spec · tobihagemann | DecimalAI

documentationby tobihagemann

Draft Spec

tobihagemann/draft-spec

Source tobihagemann/turbo ↗License MIT

Guide a collaborative discussion that produces a specification document at .turbo/specs/<slug>.md.

SkillScore45Maintained

Automatic

Product Management pack

Last verified 8/21/2026

What it changes

Passed 7 of 15 test cases with the skill, and 3 of 15 without it.

Without skill23%

With skill45%

Checks it passed that the model alone missed

Limits the concrete resolution options to two.
Includes 'Defer to implementation' as an option.
Formats acceptance criteria using the prefix 'Acceptance:'.

and 5 more in the full report

6 fixed4 passed either way11 still failing1 broke

Pass-rate lift: +23 pp
Tokens: +87%
Agent turns: 0%
Response time: -50%

Model gemini-3.6-flashMeasured 8/21/2026v410 of 22 cases passed with skill · 15 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/tobihagemann-draft-spec/SKILL.md https://app.decimal.ai/s/tobihagemann-draft-spec/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add tobihagemann-draft-spec, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/tobihagemann-draft-spec/ and pins it in .decimal/skills.lock

decimalai skills add tobihagemann-draft-spec

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/tobihagemann-draft-spec/SKILL.md https://app.decimal.ai/s/tobihagemann-draft-spec/SKILL.md

Raw file: /s/tobihagemann-draft-spec/SKILL.md ↗ · machine-readable summary at /s/tobihagemann-draft-spec.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 6

Prompt

The user has just approved the finalized spec for 'inventory-tracker' at `.turbo/specs/inventory-tracker.md`. What specific command or skill recommendation should be provided immediately following approval?

What was checked, without and with the skill
Checked	Without skill	With skill
Recommends running `$draft-shells` to break the spec into shells.	Missed	Passed

case-12 · gemini-3.6-flash · 8/21/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md192 linessingle file

Draft Spec

Guide a collaborative discussion to explore a project idea, then synthesize the conversation into a comprehensive specification at .turbo/specs/<slug>.md.

Task Tracking

At the start, use update_plan to track each step, restating any remaining steps of a parent workflow alongside them:

Capture the vision and pick a slug
Consult task-specific skills and docs
Deep-dive discussion
Draft the spec
Resolve open questions
Present and finalize

Step 1: Capture the Vision and Pick a Slug

Absorb whatever the user has provided — a sentence, a paragraph, a brain dump. Do not interrupt or ask questions yet. Restate the vision back in two or three sentences to confirm understanding.

Pick a slug for the spec file derived from the project or feature name:

Lowercase
Replace non-alphanumeric characters with hyphens
Collapse consecutive hyphens
Trim leading and trailing hyphens
Truncate to 40 characters at a word boundary

Example: "Photo Sorter v2" → photo-sorter-v2. The user may pass an explicit slug; if so, honor it.

If .turbo/specs/<slug>.md already exists, use request_user_input to ask whether to overwrite, append a numeric suffix (-2, -3, ...), or pick a different slug.

State the chosen slug and the resulting spec path before continuing.

Then use request_user_input to ask 1-3 focused opening questions targeting the biggest unknowns. Skip anything the user already answered. Prioritize from:

What problem does this solve, and for whom?
Is this greenfield or does existing code/infrastructure exist?
Are there strong technology preferences or constraints?
What does the MVP look like versus the full vision?
Are there hard deadlines, budget limits, or team size constraints?

Track record

Benchmark

7 / 15

test cases passed, vs 3 / 15 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/10/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

tobihagemann / turbo

claude/skills/draft-spec/SKILL.md

View on GitHub ↗

License MITImported 8/10/2026Version v4

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

tobihagemann/draft-planProduce an implementation plan at .turbo/plans/<slug>.md. Use when the user asks to "draft a plan", "draft the plan", "write an implementation plan", "plan this change", "create an implementation plan", or needs a first-draft plan file before refinement.Close match+22 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Draft Spec

Task Tracking

Step 1: Capture the Vision and Pick a Slug

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills