Convert unstructured stakeholder input into DoR-compliant product briefs.
npx skills add https://github.com/phanijapps/engram --skill author-brief
Please help me install this Agent Skill. Skill: author-brief Source: https://github.com/phanijapps/engram/tree/main/.claude/skills/author-brief Command: npx skills add https://github.com/phanijapps/engram --skill author-brief
This skill solves the friction of converting raw, unstructured stakeholder input—such as emails, messages, or issue descriptions—into formal, actionable product briefs that meet Definition of Ready (DoR) standards.
Invoke the author-brief skill by providing the raw text from your email or issue and asking the agent to turn it into a product brief.
High-intent search queries and answers about installing and using this skill.
To convert unstructured stakeholder emails into product briefs, provide the raw text to the agent so it can extract key project metadata like Outcome and Appetite, generating a standardized draft. This parses messy input into actionable documentation.
A Definition of Ready (DoR) compliant product brief is a standardized document containing validated project metadata such as Outcomes, Appetite, and Rabbit holes. It ensures workflow continuity by meeting completeness standards before development begins.
You extract product metadata from messy text by passing the unstructured input to the skill, which automatically identifies and structures fields like Outcome and Rabbit holes. This generates a standardized product brief ready for team visibility.
Yes, you can queue draft product briefs directly into workspace configuration files. The skill validates brief completeness and integrates with workspace.toml to queue drafts for further development, ensuring team workflow visibility.
Yes, the product brief intake process works with issue descriptions. It parses raw issue text, elicits missing constraints, and generates a standardized DoR-compliant draft brief within your project documentation directory.
Renzo-TognellaExtract structured JSON from unstructured text and validate against a Pydantic schema.
jolequesValidate product-context files against interview-log.md for completeness and fidelity.
mohamedgshoaibAppend progress, decisions, and blockers to date-stamped session log files.
tgmarinhoConvert conversation content into a Product Requirements Document and publish it to an issue tracker.
