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/aget-create-project · majiayu000 | DecimalAI

productivityby majiayu000

/aget-create-project

majiayu000/aget-create-project

Source majiayu000/claude-skill-registry ↗License MIT

Create research projects with context-aware scaffolding. Reads AGET identity, searches prior work, pre-populates Due Diligence.

SkillScore73Maintained

Automatic

Project Management pack

Last verified 8/18/2026

What it changes

Passed 12 of 16 test cases with the skill, and 5 of 16 without it.

Without skill32%

With skill73%

Checks it passed that the model alone missed

The section header is ## Skill Completion Signal.
The self-verification report status displays FIXED.
The creation check issues an ADR-008 precondition gap warning.

and 8 more in the full report

9 fixed7 passed either way6 still failing0 broke

Pass-rate lift: +41 pp
Tokens: +275%
Agent turns: 0%
Response time: -34%

Model gemini-3.6-flashMeasured 8/18/2026v116 of 22 cases passed with skill · 16 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/majiayu000-aget-create-project/SKILL.md https://app.decimal.ai/s/majiayu000-aget-create-project/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add majiayu000-aget-create-project, 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/majiayu000-aget-create-project/ and pins it in .decimal/skills.lock

decimalai skills add majiayu000-aget-create-project

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

curl -fsSL --create-dirs -o .claude/skills/majiayu000-aget-create-project/SKILL.md https://app.decimal.ai/s/majiayu000-aget-create-project/SKILL.md

Raw file: /s/majiayu000-aget-create-project/SKILL.md ↗ · machine-readable summary at /s/majiayu000-aget-create-project.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 8

Prompt

Run the project creation workflow in automated headless mode without passing any command-line parameters or arguments. What is the immediate execution result?

What was checked, without and with the skill
Checked	Without skill	With skill
The execution returns an error stating that project type and name are required in headless mode.	Missed	Passed

case-07 · gemini-3.6-flash · 8/18/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md440 linessingle file

/aget-create-project

Create a new AGET project with research-informed scaffolding per PROJECT_PLAN_AGET_CREATE_PROJECT_V2.md.

Input

$ARGUMENTS

Mode Detection

Input Pattern	Mode	Behavior
Empty or blank	Interactive	Prompt for type and name
`<type> <name>`	Explicit	Create project of specified type
`<topic>` only	Inference	Infer type from topic and AGET domain
Input contains evidence statements (interview data, gap analysis, L-doc citations, cross-reference synthesis)	Evidence-rich	Abbreviated research phase — use provided evidence, skip redundant searches

Evidence-Rich Mode

Detection: Input contains 2+ of: specific L-doc references (L###), quantitative data (percentages, counts, session numbers), named sources (supervisor interviews, audit results), or cross-reference synthesis ("both supervisors agree...").

Behavior: Research Phase (Step 3) still executes per C-CP-003, but in abbreviated form:

Step 3.1 (identity): Runs — always needed for project context
Step 3.2 (L-docs): Abbreviated — search only L-docs explicitly cited in input, don't broad-search by topic keywords
Step 3.3 (sessions): Abbreviated — note current session only (evidence was gathered in-session)
Step 3.4 (similar projects): Runs — conflict check always needed
Step 3.5 (vocabulary): Runs — vocabulary grounding always needed

Rationale: When the user provides rich evidence context (e.g., from supervisor interviews or gap analysis conducted in the same session), broad keyword searches duplicate work already done. The abbreviated research phase respects C-CP-003 (research is NOT skipped) while avoiding redundancy.

Supported Project Types

Type	Template	Output Location
`research`	`templates/poc/RESEARCH_PROJECT_PLAN.template.md`	`planning/PROJECT_PLAN_<NAME>.md`
`poc`	`templates/poc/PROPOSAL.template.md`	`planning/poc-proposals/POC-XXX-<name>.md`

Project Creation Process

Step 0: Scope-Fit Validation (#295)

Track record

Benchmark

12 / 16

test cases passed, vs 5 / 16 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 — 8/3/2026

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

majiayu000 / claude-skill-registry

skills/agent/aget-create-project/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

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

/aget-create-project

Input

Mode Detection

Evidence-Rich Mode

Supported Project Types

Project Creation Process

Step 0: Scope-Fit Validation (#295)

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills