id stringclasses 2
values | name stringclasses 2
values | description stringclasses 2
values | prompt_template stringclasses 2
values | input_schema stringclasses 2
values | examples stringclasses 2
values | tags listlengths 4 4 | source_trace_id stringclasses 2
values | version stringclasses 1
value | validation_score float64 0.8 1 | created_at stringclasses 2
values | updated_at stringclasses 2
values |
|---|---|---|---|---|---|---|---|---|---|---|---|
762d0b92-3a2f-4b79-9835-85c22dc6f216 | review_pull_request_diff | Reviews a pull request diff and provides structured feedback on security, code structure, and documentation. | Review the following pull request diff and provide structured feedback, identifying security vulnerabilities, evaluating improvements in code structure and type hints, and suggesting documentation and error handling: {{pull_request_diff}} | {"type": "object", "properties": {"pull_request_diff": {"type": "string", "description": "The code changes in the pull request."}}, "required": ["pull_request_diff"]} | [{"input": {"pull_request_diff": "diff --git a/example.py b/example.py\n@@ -1,5 +1,5 @@\n-def old_function(param):\n- return param\n+def new_function(param: str) -> str:\n+ return param + ' updated'"}, "expected_output": "Feedback: 1. Security: No vulnerabilities detected. 2. Code Structure: Improved type hints e... | [
"code review",
"pull request",
"feedback",
"security"
] | trace-002 | 0.1.0 | 0.8 | 2026-10-09T20:57:59.847879+00:00 | 2026-10-09T20:57:59.847899+00:00 |
7c271e56-6136-4443-a115-1d91cf394e47 | draft_weekly_status_email | Drafts a formal weekly status email from provided bullet points. | Draft a formal weekly status email addressed to {{manager_name}} for the week of {{week_date}}. Include the following key accomplishments and updates: {{bullet_points}}. Also, include a section for blockers, even if none exist. Sign the email with {{your_name}}. | {"type": "object", "properties": {"bullet_points": {"type": "string", "description": "Key accomplishments and updates to include in the email."}, "week_date": {"type": "string", "description": "The week date to reference in the email subject."}, "manager_name": {"type": "string", "description": "The name of the manager... | [{"input": {"bullet_points": "finished auth module, fixed 3 bugs in payment flow, unblocked the mobile team on the API spec.", "week_date": "September 14, 2026", "manager_name": "John Doe", "your_name": "Jane Smith"}, "expected_output": "A formal email summarizing the accomplishments and blockers for the week of Septem... | [
"email",
"status update",
"communication",
"professional"
] | trace-001 | 0.1.0 | 1 | 2026-10-08T20:13:08.536247+00:00 | 2026-10-08T20:13:08.536264+00:00 |
SkillForge Skill Dataset
This dataset was exported from SkillForge, a trace-to-skill distillation engine.
Dataset Description
Each record is a verified, reusable skill synthesized from execution traces.
Data Fields
| Field | Type | Description |
|---|---|---|
| id | string | Unique skill ID |
| name | string | Snake-case skill name |
| description | string | One-sentence description |
| prompt_template | string | Parameterized prompt (uses {variable} syntax) |
| input_schema | object | JSON Schema for template variables |
| examples | list | Input/output example pairs |
| tags | list | Topic tags |
| version | string | Skill version |
| validation_score | float | 0.0-1.0 quality score from ValidatorAgent |
Usage
from datasets import load_dataset
ds = load_dataset("rohmishra12/skillforge-skills")
for skill in ds["train"]:
print(skill["name"], skill["validation_score"])
Citation
@software{skillforge2026,
author = {SkillForge Contributors},
title = {SkillForge: Trace-to-Skill Distillation Engine},
year = {2026},
url = {https://github.com/rohmishra12/skillforge}
}
Exported: 2026-10-14 Total skills: 2
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