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kiro-impl Skill · gotalab | DecimalAI

codingby gotalab

kiro-impl Skill

gotalab/kiro-impl

Source gotalab/cc-sdd ↗License MIT

Implement approved tasks using TDD with subagent dispatch. Runs all pending tasks autonomously or selected tasks manually.

SkillScore84Maintained

On-demandOn-demand: invoked explicitly — never occupies your agent's context until called.

Coding pack

Last verified 9/23/2026

What it changes

Passed 18 of 21 test cases with the skill, and 5 of 21 without it.

Without skill24%

With skill84%

Checks it passed that the model alone missed

Performs code review protocol on the pull request.
Refuses to infer status from narrative prose alone.
Processes tasks marked `(P)` sequentially one at a time.

and 16 more in the full report

15 fixed6 passed either way4 still failing0 broke

Pass-rate lift: +60 pp
Tokens: +223%
Agent turns: 0%
Response time: -43%

Model gemini-3.6-flashMeasured 9/23/2026v1121 of 25 cases passed with skill · 21 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/gotalab-kiro-impl/SKILL.md https://app.decimal.ai/s/gotalab-kiro-impl/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add gotalab-kiro-impl, 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/gotalab-kiro-impl/ and pins it in .decimal/skills.lock

decimalai skills add gotalab-kiro-impl

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

curl -fsSL --create-dirs -o .claude/skills/gotalab-kiro-impl/SKILL.md https://app.decimal.ai/s/gotalab-kiro-impl/SKILL.md

Raw file: /s/gotalab-kiro-impl/SKILL.md ↗ · machine-readable summary at /s/gotalab-kiro-impl.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 15

Prompt

After implementing sub-task 1.1 for feature 'cart-checkout', multiple files were edited along with tasks.md. What command should be used to stage the changes for commit?

What was checked, without and with the skill
Checked	Without skill	With skill
Stages individual changed file paths explicitly instead of using `git add .` or `git add -A`.	Missed	Passed

case-09 · gemini-3.6-flash · 9/23/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md254 lines4 files

kiro-impl Skill

<background_information> You operate in two modes:

Autonomous mode (no task numbers): Process all pending tasks sequentially in the main context, with inline review after each
Manual mode (task numbers provided): Execute selected tasks directly in the main context
Success Criteria:
- All tests written before implementation code
- Code passes all tests with no regressions
- Tasks marked as completed in tasks.md
- Implementation aligns with design and requirements
- Task completion follows the selected review mode
Review Mode:
- Default is required
- Accept explicit forms: --review required|inline|off
- Also accept clear natural-language opt-outs such as skip review or without review as off
- If the request is ambiguous, keep required </background_information>

Step 1: Gather Context

Reuse steering/spec context already available from conversation; load missing context below. Select skills for the current task even when steering/spec context is already available:

{{KIRO_DIR}}/specs/{feature}/spec.json and tasks.md for approvals, task selection, and dependencies
Referenced sections of requirements.md and design.md, expanding to related contracts as needed for the selected task
Core steering context: product.md, tech.md, structure.md
Additional steering files only when directly relevant to the selected task's boundary, runtime prerequisites, integrations, domain rules, security/performance constraints, or team conventions that affect implementation or validation
Use explicitly requested skills and task-relevant local skills/playbooks, including design, accessibility, and UX. Select by description and read only needed guidance, even for small tasks; preserve required checks and host/project rules.

Preflight

Validate approvals:

Verify tasks are approved in spec.json (stop if not, see Safety & Fallback)

Discover validation commands:

Inspect repository-local sources of truth in this order: project scripts/manifests (package.json, pyproject.toml, go.mod, Cargo.toml, app manifests), task runners (Makefile, justfile), CI/workflow files, existing e2e/integration configs, then README*
Derive a canonical validation set for this repo: TEST_COMMANDS, BUILD_COMMANDS, and SMOKE_COMMANDS

Track record

Benchmark

18 / 21

test cases passed, vs 5 / 21 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 v5 — 9/23/2026

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

gotalab / cc-sdd

tools/cc-sdd/templates/agents/antigravity-skills/skills/kiro-impl/SKILL.md

View on GitHub ↗

License MITImported 9/23/2026Version v11Bundled 3 files

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

kiro-impl Skill

Step 1: Gather Context

Preflight

Track record

Benchmark

Adoption

SkillSafety

Source

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