Chalk Labs
Need help deploying renderdoc-replay-diagnostics?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/kirkice-renderdoc-replay-diagnostics
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
renderdoc-replay-diagnostics- Description
- None
- License
- MIT
- Instructions
- 19 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- missing YAML frontmatter
- name: missing
- description: missing
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# RenderDoc Replay Diagnostics Use this skill when launching, capturing, or replaying fails, or when the user asks whether RenderDoc, the native bridge, replay host, MCP, adb, or Android target is ready. ## Workflow 1. Call `renderdoc_diagnoseEnvironment` for the complete environment snapshot. 2. For Android launch failures, call `renderdoc_checkAndroidLaunchReadiness` with the package name. 3. Read the returned error code and phase before proposing a fix. 4. For an active session, call `renderdoc_getSessionState`; retry capture only when the phase and target are ready. ## Output Summarize each failing layer, its evidence, whether it is recoverable, and the smallest next action. Cover adb authorization/offline state, package/activity discovery, RenderDoc target availability, native bridge, replay host, and MCP status when reported. ## Guardrails Do not infer Android readiness from a package name alone. Do not claim a capture succeeded without a returned capture path and loaded capture state.
From Kirkice/renderdoc-for-vscode, MIT.
More from Kirkice/renderdoc-for-vscode
- 0.617score
renderdoc-app-launch-capture
Kirkice
Launch a Windows executable or Android application through RenderDoc and capture a frame from the active session.
SkillBFreshness: B★ 44Claude Code +9 - 0.606score
renderdoc-shader-optimization
Kirkice
Review captured shader variants, bindings, source, and timing evidence to identify shader optimization opportunities.
SkillBFreshness: B★ 44Claude Code +9 - 0.606score
renderdoc-performance-report
Kirkice
Generate an evidence-based RenderDoc performance and resource footprint report from the current capture.
SkillBFreshness: B★ 44Claude Code +9 - 0.567score
renderdoc-current-selection-explainer
Kirkice
Explain the currently selected RenderDoc draw, event, or resource in practical terms.
SkillCFreshness: C★ 44Claude Code +9 - 0.567score
renderdoc-frame-overview
Kirkice
Summarize the structure of a RenderDoc capture and identify its top-level passes, markers, and likely inspection targets.
SkillCFreshness: C★ 44Claude Code +9 - 0.567score
renderdoc-performance-investigation
Kirkice
Investigate performance bottlenecks in a RenderDoc capture and explain which passes or draws are expensive and why.
SkillCFreshness: C★ 44Claude Code +9 - 0.567score
renderdoc-shader-review
Kirkice
Review shader behavior for a RenderDoc event, including stage roles, bindings, constant buffers, and likely issues.
SkillCFreshness: C★ 44Claude Code +9 - 0.567score
renderdoc-replay-recovery-helper
Kirkice
Recover from missing RenderDoc capture or replay state before attempting deeper analysis.
SkillCFreshness: C★ 44Claude Code +9 - 0.567score
renderdoc-buffer-inspector
Kirkice
Inspect buffer resources and their contents in a RenderDoc capture, including raw bytes and event context.
SkillCFreshness: C★ 44Claude Code +9 - 0.567score
renderdoc-pass-to-project-mapping
Kirkice
Map RenderDoc passes, events, and shaders back to likely project-side source files and implementation points.
SkillCFreshness: C★ 44Claude Code +9 - 0.567score
renderdoc-texture-trace
Kirkice
Trace how a texture is produced, consumed, and related to passes in a RenderDoc capture.
SkillCFreshness: C★ 44Claude Code +9 - 0.556score
renderdoc-capture-diff
Kirkice
Compare two RenderDoc captures and explain metadata and resource footprint changes without inventing timing evidence.
SkillCFreshness: C★ 44Claude Code +9
Signals
- Stars
- 44
- Forks
- 8
- Open issues
- 1
- Last commit (this folder)
- Jul 21, 2026 (3 months ago)
- Last release
- May 22, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Kirkice/renderdoc-for-vscode
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Kirkice
- 0.617score
renderdoc-app-launch-capture
Kirkice
Launch a Windows executable or Android application through RenderDoc and capture a frame from the active session.
SkillBFreshness: B★ 44Claude Code +9 - 0.606score
renderdoc-shader-optimization
Kirkice
Review captured shader variants, bindings, source, and timing evidence to identify shader optimization opportunities.
SkillBFreshness: B★ 44Claude Code +9 - 0.606score
renderdoc-performance-report
Kirkice
Generate an evidence-based RenderDoc performance and resource footprint report from the current capture.
SkillBFreshness: B★ 44Claude Code +9 - 0.567score
renderdoc-current-selection-explainer
Kirkice
Explain the currently selected RenderDoc draw, event, or resource in practical terms.
SkillCFreshness: C★ 44Claude Code +9 - 0.567score
renderdoc-frame-overview
Kirkice
Summarize the structure of a RenderDoc capture and identify its top-level passes, markers, and likely inspection targets.
SkillCFreshness: C★ 44Claude Code +9 - 0.567score
renderdoc-performance-investigation
Kirkice
Investigate performance bottlenecks in a RenderDoc capture and explain which passes or draws are expensive and why.
SkillCFreshness: C★ 44Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get renderdoc-replay-diagnostics running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
renderdoc-replay-diagnostics skill. Agent Mart. https://agentmart.dev/skills/kirkice-renderdoc-replay-diagnostics (last updated 2026-10-24)