MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Use glc2vk replayers and Nsight GPU Trace for offline Alpha-Piscium diagnostics after Vibris MCP captures.
$ npx skills add Luna5ama/Alpha-Piscium --skill replay-nsight -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Luna5ama/Alpha-Piscium replay-nsight --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Luna5ama/Alpha-Piscium.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/replay-nsight .claude/skills/replay-nsight && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "replay-nsight" agent skill from https://github.com/Luna5ama/Alpha-Piscium/tree/main/.agents/skills/replay-nsight into .claude/skills/replay-nsight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay-nsight", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Luna5ama/Alpha-Piscium/tree/main/.agents/skills/replay-nsightType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Luna5ama/Alpha-Piscium --skill replay-nsight -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Luna5ama/Alpha-Piscium replay-nsight --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Luna5ama/Alpha-Piscium.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/replay-nsight .agents/skills/replay-nsight && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "replay-nsight" agent skill from https://github.com/Luna5ama/Alpha-Piscium/tree/main/.agents/skills/replay-nsight into .agents/skills/replay-nsight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay-nsight", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Luna5ama/Alpha-Piscium --skill replay-nsight -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Luna5ama/Alpha-Piscium replay-nsight --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Luna5ama/Alpha-Piscium.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/replay-nsight .cursor/skills/replay-nsight && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "replay-nsight" agent skill from https://github.com/Luna5ama/Alpha-Piscium/tree/main/.agents/skills/replay-nsight into .cursor/skills/replay-nsight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay-nsight", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Luna5ama/Alpha-Piscium.git --path .agents/skills/replay-nsight--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Luna5ama/Alpha-Piscium --skill replay-nsight -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Luna5ama/Alpha-Piscium replay-nsight --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Luna5ama/Alpha-Piscium.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/replay-nsight .gemini/skills/replay-nsight && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "replay-nsight" agent skill from https://github.com/Luna5ama/Alpha-Piscium/tree/main/.agents/skills/replay-nsight into .gemini/skills/replay-nsight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay-nsight", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Luna5ama/Alpha-Piscium replay-nsightInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Luna5ama/Alpha-Piscium --skill replay-nsight -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Luna5ama/Alpha-Piscium.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/replay-nsight .github/skills/replay-nsight && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "replay-nsight" agent skill from https://github.com/Luna5ama/Alpha-Piscium/tree/main/.agents/skills/replay-nsight into .github/skills/replay-nsight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay-nsight", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Luna5ama/Alpha-Piscium --skill replay-nsight -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Luna5ama/Alpha-Piscium replay-nsight --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Luna5ama/Alpha-Piscium.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/replay-nsight .opencode/skills/replay-nsight && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "replay-nsight" agent skill from https://github.com/Luna5ama/Alpha-Piscium/tree/main/.agents/skills/replay-nsight into .opencode/skills/replay-nsight/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "replay-nsight", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
replay-nsightUse glc2vk replayers and Nsight GPU Trace for offline Alpha-Piscium diagnostics after Vibris MCP captures.
Replay Nsight is an agent skill from Luna5ama/Alpha-Piscium. Use glc2vk replayers and Nsight GPU Trace for offline Alpha-Piscium diagnostics after Vibris MCP captures.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts (for example `config.example.json`).
It works with Model Context Protocol. The repository describes itself as: High-quality realistic Minecraft shaderpack. The licence is GPL-3.0.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit f2401e9. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (PowerShell), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Replay Nsight loads about 2.1k tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 1,018 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from Luna5ama/Alpha-Piscium at commit f2401e9, republished under its GPL-3.0 licence (© Luna5ama). 1,018 words, ~2,119 tokens.
.claude/skills/replay-nsight/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.Use Vibris MCP directly for shader reloads, live captures, and performance profiles. Use this skill only for offline glc2vk replay or Nsight GPU Trace analysis of a capture produced by MCP.
bin/replay-gl.jar: OpenGL replayer.bin/replay-vk.jar: Vulkan replayer.config.json: local machine defaults. This file is ignored by git.config.example.json: portable template.scripts/run-replayer.ps1: runs the OpenGL or Vulkan replayer.scripts/capture-gputrace.ps1: runs a replayer under Nsight GPU Trace.<project-root>/.tmp/vibris/: generated replay argfiles and replay AOT caches.Always prefer config.json for jdk and capture_path. If a command does
not pass an explicit capture path, the scripts resolve capture_path as:
resource_metadata.json;resource_metadata.json.replay_frames controls the default frame count for both replayer scripts.
Prefer running several frames rather than a single frame; this gives the
driver and replay setup room to settle before the measured frame.
Both replay scripts write generated argfiles and replay AOT caches under the
project root at .tmp/vibris/, not under the skill directory. The current
files are replay-<backend>.args and replay-<backend>.aot.
Use vibris_profile for routine performance comparisons. It snapshots the
worktree, applies shader config, reloads, resets temporal state, warms up, and
measures the requested future frames in the running game. Use
vibris_capture_pass for a known compute pass or vibris_capture_multi for a
prepare, begin, deferred, or composite group. Poll vibris_get_capture_status
until capture and saving complete, then pass its output path to the replayers.
Captured resources are recorded on first reference. If replacement shader code uses a resource absent from the capture, recapture instead of accepting an invalid replay.
Use scripts/run-replayer.ps1 with -Backend gl or -Backend vk. Omit
-Capture to use config.json capture selection, or pass a capture directory
explicitly. Use -ShaderRoot <path> for replacement shaderpack source and
-ShaderPass <passName> to limit replacement to selected passes.
The underlying replay CLI accepts
<captureDir> [frameLimit] [--shader-path|--shader-root <path>] [--shader-pass <passName>]....
OpenGL replay uses the captured original OpenGL shader source unless
--shader-root is supplied. Vulkan replay uses runtime patching for shader
replacement. Do not manually copy edited shaderpack sources into the capture
directory; pass -ShaderRoot instead. When using a full shaderpack root to
test a known hotspot, also pass -ShaderPass <passName> so only that pass is
replaced and the other captured passes keep their original shader sources.
Use the bundled Nsight Analyzer at
..\nsight-graphics-analyzer\scripts\nsight.py. Do not read
BASE/GPUTRACE_REGIMES.xls directly; use the generated JSON files or the
gputrace-stages, gputrace-actions, and gputrace-metric analyzer
subcommands.
In most cases, capture GPU Trace with the OpenGL replayer. It uses the same OpenGL shader compiler path as the target game and is the best default for Alpha-Piscium performance work.
Use the Vulkan replayer only when you need finer Nsight information that is harder to get from OpenGL, such as shader source profiling or per-line stall reason detail inside one pass. In that case, run Vulkan trace with Nsight multi-pass metrics and shader profiling options. Treat the result as a diagnostic lens, not as exact OpenGL performance truth: Vulkan uses a different driver compiler path, so shader codegen and stall behavior may differ from the OpenGL shaderpack runtime.
Use scripts/capture-gputrace.ps1 with -Backend gl by default. Select a
capture with -Capture, replacement source with -ShaderRoot and
-ShaderPass, and trace timing or limits with the parameters below. For
fine-grained Vulkan diagnostics, use -Backend vk with
-MultiPassMetrics and -ShaderProfile.
GPU Trace parameter coverage in capture-gputrace.ps1:
-StartAfterFrames, -StartAfterSubmits, -StartAfterMs,
-StartAfterHotkey, -StartWithNgfxSdk, -StartOnReplayBegin.-MaxDurationMs, -LimitToFrames, -LimitToSubmits,
-StopWithNgfxSdk, -StopOnReplayEnd.-AllocatedEventBufferMemoryKb, -AllocatedHesBufferMemoryKb,
-AllocatedTimestamps.-Architecture, -MetricSet, -MetricSetId,
-PerArchConfigPath, -MultiPassMetrics.-NoTimeEveryAction, -ShaderProfile,
-PerLineActiveThreads, -PcSamplesPerPmIntervalPerSm,
-PmBandwidthLimit, -HesEnabled.-SetGpuClocks, -CollectScreenshot,
-DisableCollectShaderPipelines,
-DisableCollectExternalShaderDebugInfo,
-DisableTraceShaderBindings, -DisableNvtxRanges,
-AllowTracingReplayReset, -KeepGoing, -TraceTimeout,
-UseNgfxTimeout, -VerboseNgfx, -Timeout, -DryRun.All GPU Trace defaults live in config.json under gpu_trace_args. Command
line parameters override JSON only when explicitly provided; otherwise
capture-gputrace.ps1 reads the matching JSON key. This makes the trace setup
editable by both users and agents without changing the script.
For GPU Trace, prefer start_after_frames instead of a millisecond delay.
The default is start_after_frames = 3, which skips the first few replay
frames and filters out initialization noise. Keep replay_frames larger than
the start frame plus the capture limit.
When multi_pass_metrics is enabled and -Frames is not explicitly passed,
capture-gputrace.ps1 uses gpu_trace_args.multi_pass_replay_frames, default
1000. This keeps the replay process alive long enough for Nsight multi-pass
collection; the default process behavior is to exit after the GPU Trace capture
finishes.
Some raw ngfx.exe --help-all options are not exposed by the current Nsight
analyzer wrapper. Prefer the wrapper for normal work because it auto-exports
the trace and writes the summary/stages/actions JSON files.
Successful Nsight GPU Trace output includes:
<name>.ngfx-gputrace<name>.gputrace.summary.json<name>.gputrace.stages.json<name>.gputrace.actions.jsonBASE/*.xlsFor replay-gl.jar and replay-vk.jar traces, use summary.json only to
confirm bundle_complete=True. Never use whole-capture duration,
relative-to-capture values, analysis.frame_budget, fraction_of_gpu,
replayer CPU submission, replay-perf, Copy work, or sleep/yield time as
shader performance evidence. Those values include replayer behavior and
unrelated scheduling noise that do not represent Iris runtime performance.
Report only:
Replay marker; orReplay marker duration.Prefer gputrace-actions <trace> --in-marker "^Replay$" to select passes,
and use the stage tree to read the exact outer Replay duration. Exclude the
outer Copy marker and the unmarked tail sentinel dispatch from shader
comparisons. The sentinel exists only to absorb end-of-replay timing noise.
vibris_profile for normal in-game performance comparisons.vibris_get_capture_status to report that capture and saving are complete.bundle_complete=True, then inspect only passes inside the outer
Replay marker under the measurement contract above.For shader experiments, edit shaderpack sources and pass -ShaderRoot; do not
recapture unless resource or uniform usage changed. If new shader code uses a
resource that was not referenced during capture, recapture that pass or
program type.
© Luna5ama, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 8 other files (scripts) in .agents/skills/replay-nsight of Luna5ama/Alpha-Piscium.
Open the folder on GitHubat commit f2401e9
Replay Nsight next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Replay Nsight this skillLuna5ama/Alpha-Piscium | 156 | — | ~2.1k | Automated safety check: Pass | GPL-3.0 | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.5k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
warpdotdev/warp
Required groundwork before any use_figma call: the rules and reference files for running JavaScript in a Figma file through the Plugin API without common failures.
google-labs-code/stitch-skills
Builds walkthrough videos from Stitch design projects using Remotion, with transitions, zoom effects and text overlays on each screen.
coollabsio/coolify
A skill your agent uses for Laravel MCP development. An agent skill from coollabsio/coolify.
Luna5ama/Alpha-Piscium
Drive NVIDIA Nsight Graphics 2026.1+ from the command line for GPU performance analysis, frame capture, frame trace inspection, draw-call inspection, NVTX/D3DPERF stage timing, replay metadata…
Luna5ama/Alpha-Piscium
Draft, revise, translate, and finalize Alpha Piscium stable, beta, alpha, and hotfix changelogs from Git history.
Works with
Use glc2vk replayers and Nsight GPU Trace for offline Alpha-Piscium diagnostics after Vibris MCP captures. Replay Nsight is an agent skill from Luna5ama/Alpha-Piscium. Use glc2vk replayers and Nsight GPU Trace for offline Alpha-Piscium diagnostics after Vibris MCP captures.
Run `npx skills add Luna5ama/Alpha-Piscium --skill replay-nsight -a claude-code`. Or copy the skill folder (.agents/skills/replay-nsight in Luna5ama/Alpha-Piscium) into .claude/skills/replay-nsight in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Luna5ama/Alpha-Piscium --skill replay-nsight -a codex`. Or copy the skill folder (.agents/skills/replay-nsight in Luna5ama/Alpha-Piscium) into .agents/skills/replay-nsight in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Luna5ama/Alpha-Piscium --skill replay-nsight -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/replay-nsight, .gemini/skills/replay-nsight, .github/skills/replay-nsight and .opencode/skills/replay-nsight in your project.
Going by SKILL.md and its folder, Replay Nsight needs PowerShell for the scripts in its folder. Our summary lists: PowerShell.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Replay Nsight is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Replay Nsight: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Luna5ama (a GitHub user) maintains it in Luna5ama/Alpha-Piscium, which has 156 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 5, 2026.
Source: Luna5ama/Alpha-Piscium on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.