project-knowledge
Load Project Knowledge
Project structure can be hard to follow during AI-assisted work. This skill guides Claude, Codex, and Claude Code to read architecture, conventions, patterns, and gotchas.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "project-knowledge" from https://skillstore.io/skills/clouder0-project-knowledge.md and its manifest at https://skillstore.io/api/skills/clouder0-project-knowledge/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "project-knowledge". Read architecture knowledge before adding a feature.
Expected outcome:
Architecture summary: the app separates interface, service, and data responsibilities. Recommended path: update the service contract first, then adjust callers.
Using "project-knowledge". Check project patterns before changing error handling.
Expected outcome:
Pattern summary: errors should use shared helpers and include actionable messages. Avoid local one-off handling unless the gotchas file explains an exception.
Using "project-knowledge". Record something learned during this task.
Expected outcome:
Suggested knowledge update: document the new dependency between the scheduling flow and notification settings. Confidence: likely.
Security Audit
SafeThe only static finding is a false positive caused by a fenced JSON example. No semantic security issues were found in SKILL.md; the skill limits tool use to Read and focuses on loading project knowledge.
Risk Factors
⚙️ External commands (1)
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<iframe src="https://skillstore.io/embed/skills/clouder0-project-knowledge.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
Clouder0. (2026). project-knowledge security audit report (audit version 8) [Author version unspecified]. Skillstore. https://skillstore.io/skills/clouder0-project-knowledge/audits/8BibTeX citation
@techreport{clouder0-clouder0-project-knowledge-2026,
author = {Clouder0},
title = {project-knowledge security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/clouder0-project-knowledge/audits/8},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "project-knowledge security audit report (audit version 8)"
version: "unspecified"
type: report
authors:
- name: "Clouder0"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/clouder0-project-knowledge/audits/8"
identifiers:
- type: other
value: "skillstore:clouder0-project-knowledge:audit:8"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Start Work in an Existing Repository
Load architecture and convention notes before changing unfamiliar code.
Plan Architecture Changes
Review documented structure and patterns before proposing a design change.
Keep AI Coding Consistent
Use project-specific patterns and gotchas while asking an assistant to implement changes.
Try These Prompts
Use project-knowledge to read the architecture and conventions files. Summarize the project structure before we edit files.
Use project-knowledge to read patterns and gotchas related to the area I am changing. Explain the relevant guidance before implementation.
Use project-knowledge to compare the architecture, conventions, and patterns. Create a change plan that follows the documented design.
Use project-knowledge after this task to identify discoveries that should become project knowledge. Propose concise updates with confidence levels.
Best Practices
- Load only the knowledge files relevant to the current task.
- Compare project guidance with the actual code before making broad changes.
- Record new discoveries with clear wording and an honest confidence level.
Avoid
- Do not treat stale knowledge files as more reliable than current source code.
- Do not apply architecture guidance to unrelated repositories.
- Do not skip verification when a documented convention conflicts with implementation details.