Chatgpt App Submission
nteract/semiotic
Inspect a ChatGPT Apps MCP server codebase and generate chatgpt-app-submission.json with app info suggestions, tool hint justifications, test cases, and negative test cases, then report review-check…
Trigger language server code generation — implement interface stubs, generate test skeletons, add missing methods, generate mock types.
$ npx skills add blackwell-systems/agent-lsp --skill lsp-generate -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install blackwell-systems/agent-lsp lsp-generate --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/blackwell-systems/agent-lsp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lsp-generate .claude/skills/lsp-generate && 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 "lsp-generate" agent skill from https://github.com/blackwell-systems/agent-lsp/tree/main/skills/lsp-generate into .claude/skills/lsp-generate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lsp-generate", 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/blackwell-systems/agent-lsp/tree/main/skills/lsp-generateType 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 blackwell-systems/agent-lsp --skill lsp-generate -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install blackwell-systems/agent-lsp lsp-generate --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/blackwell-systems/agent-lsp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lsp-generate .agents/skills/lsp-generate && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lsp-generate" agent skill from https://github.com/blackwell-systems/agent-lsp/tree/main/skills/lsp-generate into .agents/skills/lsp-generate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lsp-generate", 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 blackwell-systems/agent-lsp --skill lsp-generate -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install blackwell-systems/agent-lsp lsp-generate --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/blackwell-systems/agent-lsp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lsp-generate .cursor/skills/lsp-generate && 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 "lsp-generate" agent skill from https://github.com/blackwell-systems/agent-lsp/tree/main/skills/lsp-generate into .cursor/skills/lsp-generate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lsp-generate", 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/blackwell-systems/agent-lsp.git --path skills/lsp-generate--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 blackwell-systems/agent-lsp --skill lsp-generate -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install blackwell-systems/agent-lsp lsp-generate --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/blackwell-systems/agent-lsp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lsp-generate .gemini/skills/lsp-generate && 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 "lsp-generate" agent skill from https://github.com/blackwell-systems/agent-lsp/tree/main/skills/lsp-generate into .gemini/skills/lsp-generate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lsp-generate", 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 blackwell-systems/agent-lsp lsp-generateInstalls 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 blackwell-systems/agent-lsp --skill lsp-generate -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/blackwell-systems/agent-lsp.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lsp-generate .github/skills/lsp-generate && 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 "lsp-generate" agent skill from https://github.com/blackwell-systems/agent-lsp/tree/main/skills/lsp-generate into .github/skills/lsp-generate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lsp-generate", 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 blackwell-systems/agent-lsp --skill lsp-generate -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install blackwell-systems/agent-lsp lsp-generate --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/blackwell-systems/agent-lsp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lsp-generate .opencode/skills/lsp-generate && 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 "lsp-generate" agent skill from https://github.com/blackwell-systems/agent-lsp/tree/main/skills/lsp-generate into .opencode/skills/lsp-generate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lsp-generate", 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.
lsp-generateTrigger language server code generation — implement interface stubs, generate test skeletons, add missing methods, generate mock types.
Lsp Generate is an agent skill from blackwell-systems/agent-lsp. Trigger language server code generation — implement interface stubs, generate test skeletons, add missing methods, generate mock types. Uses suggestfixes to surface generator options and executecommand to run them.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/patterns.md`). Compatibility notes: Requires the agent-lsp MCP server (github.com/blackwell-systems/agent-lsp)
It sits in Testing & QA, covering Test generation. It works with Model Context Protocol. The repository describes itself as: MCP server that orchestrates language servers into agent-native workflows. 65 tools, 30 CI-verified languages. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 38ca488. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
mcp__lsp__suggest_fixesmcp__lsp__execute_commandmcp__lsp__apply_editmcp__lsp__format_documentmcp__lsp__get_diagnosticsmcp__lsp__open_documentmcp__lsp__get_server_capabilitiesmcp__lsp__go_to_symbolFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
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.
Requires the agent-lsp MCP server (github.com/blackwell-systems/agent-lsp)
From compatibility in the SKILL.md frontmatter.
Lsp Generate loads about 1.4k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 582 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); files beside SKILL.md are not scanned.
The full file from blackwell-systems/agent-lsp at commit 38ca488, republished under its MIT licence (© blackwell-systems). 582 words, ~1,444 tokens.
.claude/skills/lsp-generate/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Requires the agent-lsp MCP server.
lsp-generate creates NEW code that does not yet exist in the file — stubs,
mocks, implementations of interfaces, test functions. It is distinct from
lsp-extract-function, which restructures code that already exists. Use
lsp-generate when you want the language server to write something new; use
lsp-extract-function when you want to reorganize existing code.
file_path: absolute path to the target fileline, column (or position_pattern): position in the file where
generation is triggered (e.g., the line with the unimplemented interface,
the missing method error, the type declaration)intent: description of what to generate (e.g., "implement io.Reader",
"generate test skeleton", "add missing methods", "generate mock for Handler")LSP must be running for the target workspace. If not yet initialized, call
mcp__lsp__start_lsp with the workspace root before proceeding.
Auto-init note: agent-lsp supports workspace auto-inference from file paths.
Explicit start_lsp is only needed when switching workspace roots.
Call mcp__lsp__open_document for the target file:
mcp__lsp__open_document(file_path: "/abs/path/to/file.go", language_id: "go")If using position_pattern, use the @@ marker convention from
references/patterns.md to identify the exact cursor position. For example:
"position_pattern": "var _ io.Reade@@r = (*MyType)(nil)"mcp__lsp__suggest_fixes({
"file_path": "...",
"start_line": N,
"start_column": C,
"end_line": N,
"end_column": C
})Filter for generator actions:
"quickfix" with titles matching the intent (e.g., "Implement
interface", "Generate", "Add stub", "Create test")"source" for source-level generationIf no matching action is found, report "No generator action available at this position for the given intent" and proceed to the Fallback section below.
Display available generator actions to the user. If multiple actions match the intent, list all of them and ask which to apply. Confirm the selected action before executing — do NOT auto-select when multiple candidates exist.
Execute one generator at a time. Do NOT batch multiple execute_command calls.
command field: run via mcp__lsp__execute_commandedit field: apply via mcp__lsp__apply_editmcp__lsp__format_document({ "file_path": "..." })
mcp__lsp__get_diagnostics({ "file_path": "..." })Report remaining diagnostics. Stub methods typically leave TODO comments or
panic("not implemented") bodies — this is expected behavior from the language
server. Surface any unexpected errors.
| Language | Generator | Trigger location | Code action kind |
|---|---|---|---|
| Go (gopls) | Implement interface | Line with var _ MyInterface = (*MyType)(nil) or type declaration | quickfix — "Implement interface" |
| Go (gopls) | Generate test file | Any .go file without _test.go counterpart | source — "Generate unit tests" |
| Go (gopls) | Add missing method | Line with undefined: method error | quickfix |
| TypeScript (typescript-language-server) | Implement interface | Class declaration | quickfix — "Implement interface members" |
| TypeScript (typescript-language-server) | Add missing method | Method call with no definition | quickfix — "Add missing function declaration" |
| Python (pyright) | Add import | Name not defined | quickfix — "Add import" |
| Rust (rust-analyzer) | Implement trait | impl Trait for Type {} | quickfix — "Add missing impl members" |
If suggest_fixes returns no generator actions, the language server at this
workspace may not support server-side generation for this intent. Explain this
to the user and suggest a manual approach specific to the intent:
mcp__lsp__go_to_symbol to discover all required methods, then implement
them manually.mcp__lsp__get_server_capabilities to confirm
whether the server advertises code action support; if not, generate the test
skeleton manually using standard testing package conventions.mcp__lsp__get_diagnostics to enumerate the missing
symbols by name, then implement them one at a time.execute_command calls — run one generator at a time© blackwell-systems, MIT. 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 1 other file (references) in skills/lsp-generate of blackwell-systems/agent-lsp.
Open the folder on GitHubat commit 38ca488
Lsp Generate 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 |
|---|---|---|---|---|---|---|
| Lsp Generate this skillblackwell-systems/agent-lsp | 160 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Chatgpt App Submissionnteract/semiotic | 2.7k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Test ScopeGlitterKill/sdl-mcp | 491 | — | ~586 | Automated safety check: Pass | Custom licence | |
| Opik Verifycomet-ml/opik-mcp | 220 | — | ~2.8k | Automated safety check: Notes | Apache-2.0 | |
| Opik Testcomet-ml/opik-mcp | 220 | — | ~2.8k | Automated safety check: Notes | Apache-2.0 | |
| Mps Run ConfigurationsJetBrains/MPS | 1.7k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 |
nteract/semiotic
Inspect a ChatGPT Apps MCP server codebase and generate chatgpt-app-submission.json with app info suggestions, tool hint justifications, test cases, and negative test cases, then report review-check…
GlitterKill/sdl-mcp
Determine which test suites are affected by recent code changes and run only the relevant ones.
comet-ml/opik-mcp
Decide ship or hold for a candidate from the compare skill's numbers, against an explicit release policy — regressions, pass rate, safety-tagged cases, subgroup consistency, latency and cost…
comet-ml/opik-mcp
Turn a failing Opik trace (or a described failure) into a repeatable regression check — a test-suite item with the trace's input and one or two binary assertions — so a fix can be verified by the…
JetBrains/MPS
Create and execute IDE run configurations for MPS root nodes via MPS MCP — Java Application for IMainClass / ClassConcept with main, JUnit Tests for ITestCase.
jeremylongshore/tons-of-skills-marketplace
Create a Kobiton test run from a test case or suite, then offer to monitor it.
blackwell-systems/agent-lsp
Enumerate exported symbols in a file and surface those with zero references across the workspace.
blackwell-systems/agent-lsp
Safe workflow for editing exported symbols or public APIs. An agent skill from blackwell-systems/agent-lsp.
blackwell-systems/agent-lsp
Apply available quick-fix code actions for all current diagnostics in a file, one at a time with re-collection between each fix.
blackwell-systems/agent-lsp
Blast-radius analysis for a symbol or file — shows all callers, type supertypes/subtypes, and reference count before you change it.
blackwell-systems/agent-lsp
Two-phase safe rename across the entire workspace. An agent skill from blackwell-systems/agent-lsp.
blackwell-systems/agent-lsp
Speculative code editing session — simulate changes in memory before touching disk.
Works with
Categories
Trigger language server code generation — implement interface stubs, generate test skeletons, add missing methods, generate mock types. Lsp Generate is an agent skill from blackwell-systems/agent-lsp. Trigger language server code generation — implement interface stubs, generate test skeletons, add missing methods, generate mock types.
Lsp Generate fits situations like: language server code generation — implement interface stubs; generate test skeletons; add missing methods; generate mock types.
Run `npx skills add blackwell-systems/agent-lsp --skill lsp-generate -a claude-code`. Or copy the skill folder (skills/lsp-generate in blackwell-systems/agent-lsp) into .claude/skills/lsp-generate in your project. Claude Code loads it when a task matches its description.
Run `npx skills add blackwell-systems/agent-lsp --skill lsp-generate -a codex`. Or copy the skill folder (skills/lsp-generate in blackwell-systems/agent-lsp) into .agents/skills/lsp-generate 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 blackwell-systems/agent-lsp --skill lsp-generate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lsp-generate, .gemini/skills/lsp-generate, .github/skills/lsp-generate and .opencode/skills/lsp-generate in your project.
SKILL.md names no scripts, command-line tools or credentials: Lsp Generate is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: mcp__lsp__suggest_fixes, mcp__lsp__execute_command, mcp__lsp__apply_edit, mcp__lsp__format_document, mcp__lsp__get_diagnostics, mcp__lsp__open_document, mcp__lsp__get_server_capabilities, mcp__lsp__go_to_symbol. Compatibility (from SKILL.md): Requires the agent-lsp MCP server (github.com/blackwell-systems/agent-lsp).
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. Review the folder before installing.
Lsp Generate is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 499 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Lsp Generate: Chatgpt App Submission (nteract/semiotic, 2.7k stars), Test Scope (GlitterKill/sdl-mcp, 491 stars), Opik Verify (comet-ml/opik-mcp, 220 stars) and Opik Test (comet-ml/opik-mcp, 220 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
blackwell-systems (a GitHub user) maintains it in blackwell-systems/agent-lsp, which has 160 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 9, 2026.
Source: blackwell-systems/agent-lsp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.