How do I install the Sop Dogfooding Pattern Retrieval skill?

Run npx skillmds add majiayu000/sop-dogfooding-pattern-retrieval in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Sop Dogfooding Pattern Retrieval skill do?

SOP for retrieving, curating, and applying patterns discovered through dogfooding runs. It is listed under Coding & Dev Tools on SkillMD.

Is Sop Dogfooding Pattern Retrieval safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Sop Dogfooding Pattern Retrieval?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Sop Dogfooding Pattern Retrieval free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Sop Dogfooding Pattern Retrieval?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Sop Dogfooding Pattern Retrieval by majiayu000

Name: Sop Dogfooding Pattern Retrieval
Rating: 4.2 (5 reviews)
Author: majiayu000

File contents

STANDARD OPERATING PROCEDURE

Purpose

Systematically collect and reuse patterns, fixes, and heuristics learned from dogfooding sessions to accelerate future quality work.

Trigger Conditions

Positive: preparing playbooks, seeding new skills with proven patterns, or responding to repeated findings across projects.
Negative: net-new explorations without prior data; one-off audits without reuse goals.

Guardrails

Confidence ceiling: Provide Confidence: X.XX (ceiling: TYPE Y.YY) using ceilings {inference/report 0.70, research 0.85, observation/definition 0.95}.
Evidence-backed entries: Each pattern must include source session, file:line or log evidence, applicability, and limitations.
Structure-first: Maintain curated examples/tests that demonstrate pattern application and failure modes.
Versioning: Track pattern versions and deprecate superseded items.

Execution Phases

Harvest
- Pull artifacts from recent dogfooding runs; tag by skill, domain, and risk class.
- Extract candidate patterns with context and triggers.
Curate & Validate
- Consolidate duplicates; validate on at least one fresh example.
- Record constraints and anti-patterns.
Publish & Wire-in
- Add patterns to references/resources; update examples/tests accordingly.
- Communicate availability and intended use to downstream skills.
Review & Confidence
- Schedule periodic reviews to retire stale patterns.
- State confidence with ceiling and note coverage gaps.

Output Format

Pattern catalog entries with source, evidence, applicability, and limitations.
Validation notes and example usage.
Change log for additions/removals.
Confidence statement using ceiling syntax.

Validation Checklist

Source sessions and evidence recorded.
Patterns validated on fresh examples.
Examples/tests updated to reflect patterns and pitfalls.
Versioning and retirement tracked.
Confidence ceiling provided; English-only output.

Confidence: 0.70 (ceiling: inference 0.70) - SOP rewritten to align with Prompt Architect confidence discipline and Skill Forge structure-first curation.

---name: sop-dogfooding-pattern-retrievaldescription: SOP for retrieving, curating, and applying patterns discovered through dogfooding runs.--- ## STANDARD OPERATING PROCEDURE ### Purpose Systematically collect and reuse patterns, fixes, and heuristics learned from dogfooding sessions to accelerate future quality work. ### Trigger Conditions - **Positive:** preparing playbooks, seeding new skills with proven patterns, or responding to repeated findings across projects. - **Negative:** net-new explorations without prior data; one-off audits without reuse goals. ### Guardrails - **Confidence ceiling:** Provide `Confidence: X.XX (ceiling: TYPE Y.YY)` using ceilings {inference/report 0.70, research 0.85, observation/definition 0.95}. - **Evidence-backed entries:** Each pattern must include source session, file:line or log evidence, applicability, and limitations. - **Structure-first:** Maintain curated examples/tests that demonstrate pattern application and failure modes. - **Versioning:** Track pattern versions and deprecate superseded items. ### Execution Phases 1. **Harvest** - Pull artifacts from recent dogfooding runs; tag by skill, domain, and risk class. - Extract candidate patterns with context and triggers. 2. **Curate & Validate** - Consolidate duplicates; validate on at least one fresh example. - Record constraints and anti-patterns. 3. **Publish & Wire-in** - Add patterns to references/resources; update examples/tests accordingly. - Communicate availability and intended use to downstream skills. 4. **Review & Confidence** - Schedule periodic reviews to retire stale patterns. - State confidence with ceiling and note coverage gaps. ### Output Format - Pattern catalog entries with source, evidence, applicability, and limitations. - Validation notes and example usage. - Change log for additions/removals. - Confidence statement using ceiling syntax. ### Validation Checklist - [ ] Source sessions and evidence recorded. - [ ] Patterns validated on fresh examples. - [ ] Examples/tests updated to reflect patterns and pitfalls. - [ ] Versioning and retirement tracked. - [ ] Confidence ceiling provided; English-only output. Confidence: 0.70 (ceiling: inference 0.70) - SOP rewritten to align with Prompt Architect confidence discipline and Skill Forge structure-first curation.

Frequently asked questions