Этот скилл MUST быть вызван когда пользователь говорит "инициализируем проект", "init project", просит настроить 1С-проект.

AGPL-3.0Auto-check: notesAgent Workflows

Install 1c Project Init

skills CLI
$ npx skills add Arman-Kudaibergenov/1c-ai-development-kit --skill 1c-project-init -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Arman-Kudaibergenov/1c-ai-development-kit 1c-project-init --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Arman-Kudaibergenov/1c-ai-development-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/1c-project-init .claude/skills/1c-project-init && rm -rf skills-src

Use ~/.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/

Facts

Skill name
1c-project-init
GitHub stars
166
Token cost
~4.2k tokens
SKILL.md length
1,213 words
Files
5 (incl. scripts)
Skills in repo
50
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Этот скилл MUST быть вызван когда пользователь говорит "инициализируем проект", "init project", просит настроить 1С-проект.

  • Works in 11 steps: Determine target path → Run init script → If mode = new — collect project info… → …
  • Tasks that involve Project scaffolding
  • SKILL.md covers Mode detection, CRITICAL: Use skills, not…, Steps and Enrich mode specifics
  • Runs PowerShell scripts from its folder; calls ssh, git and docker

What it does

1c Project Init is an agent skill from Arman-Kudaibergenov/1c-ai-development-kit. Этот скилл MUST быть вызван когда пользователь говорит "инициализируем проект", "init project", просит настроить 1С-проект. SHOULD также вызывать для добавления MCP-серверов и skills к существующему проекту. Do NOT использовать для создания объектов конфигурации — используй meta-compile.

Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts.

It sits in Agent Workflows, covering Project scaffolding. It works with Model Context Protocol. The repository describes itself as: Comprehensive AI agents, skills and rules toolkit for 1C:Enterprise development in Cursor IDE. The licence is AGPL-3.0.

When your agent uses it

  • Tasks that involve Project scaffolding

Example prompts

  • “init project”
  • “/1c-project-init”

Requirements

  • PowerShell
  • Docker
  • Pre-approved tools (allowed-tools): Bash, Read, Write, Edit, Glob, AskUserQuestion

Workflow steps

11 steps, taken from the step headings in SKILL.md.

  1. Determine target path
  2. Run init script
  3. If mode = new — collect project info interactively
  4. Generate CLAUDE.md
  5. Generate .mcp.json
  6. Generate .v8-project.json if not exists
  7. Create openspec structure if mode = new
  8. Deploy infobase on CT107 (mode = new)
  9. Initialize git repository
  10. Configure mcp-bsl-lsp on CT100
  11. Report

What it can do on your machine

Read from SKILL.md and the folder at commit 92d389e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Write
    • Edit
    • Glob
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (PowerShell), which the agent can run.

    Shell commands in SKILL.md call:

    • ssh
    • git
    • docker
    • curl
    • scp

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use ssh, git, docker, curl and scp, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

1c Project Init loads about 4.2k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 1,213 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~4.2k

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.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Write, Edit, Glob, AskUserQuestion

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.

SKILL.md

The full file from Arman-Kudaibergenov/1c-ai-development-kit at commit 92d389e, republished under its AGPL-3.0 licence (© Arman-Kudaibergenov). 1,213 words, ~4,174 tokens.

Download SKILL.mdSave it as .claude/skills/1c-project-init/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
1c-project-init
description
Этот скилл MUST быть вызван когда пользователь говорит "инициализируем проект", "init project", просит настроить 1С-проект. SHOULD также вызывать для добавления MCP-серверов и skills к существующему проекту. Do NOT использовать для создания объектов конфигурации — используй meta-compile.
allowed-tools
Bash, Read, Write, Edit, Glob, AskUserQuestion
argument-hint
target-path

/1c-project-init — Initialize or enrich 1C project

Source workspace: C:\Users\YOUR_USERNAME\workspace\ai\1c-AI-workspace

Mode detection

  • .claude/skills/ exists in target → enrich (sync missing/outdated skills & docs)
  • No .claude/skills/ → new (full init)

CRITICAL: Use skills, not manual 1C commands

NEVER run 1cv8 DESIGNER manually when a skill exists for the operation.

TaskWRONGRIGHT
Dump XMLssh ... docker exec ... 1cv8 DESIGNER /DumpConfigToFiles/db-dump-xml skill
Load XMLdocker exec ... 1cv8 DESIGNER /LoadConfigFromFiles/db-load-xml skill
Build CFmanual 1cv8/db-dump-cf, /cf-init skills

The /db-dump-xml skill reads .v8-project.json automatically and connects to the remote server directly — no need to run DESIGNER inside the container. License PROF on the local machine is sufficient for all DESIGNER operations including DumpConfigToFiles and extension dumps.

Steps

1. Determine target path
  • If argument provided → use it
  • Otherwise → current working directory (pwd)
2. Run init script
powershell
powershell.exe -NoProfile -File "C:\Users\YOUR_USERNAME\workspace\ai\1c-AI-workspace\.claude\skills\1c-project-init\scripts\init.ps1" -TargetPath "<target>" -Mode <new|enrich>

Script output lists what was copied/updated.

3. If mode = new — collect project info interactively

Ask ALL questions upfront in a single AskUserQuestion call (multiple questions at once).

Question order matters — project type and extension names come FIRST:

  1. Project type (options): configuration / extension / configuration + extension / external-processor / other
  2. Extension name(s) — ask only if type includes extension. If multiple, comma-separated (e.g. МоёРасширение, ДругоеРасширение)
  3. 1C base name (e.g. Forte, Buh)
  4. Platform version: 8.3.24 / 8.3.25 / 8.3.27
  5. Web publication name (e.g. forte, buh) — for HTTP API and playwright
  6. Admin login and password — for .v8-project.json

Note: questions 1+2 can be asked together in first call; 3-6 in second call if user answered that extensions are involved. Or ask all in one call if possible.

Platform → server mapping (all on CT107 / YOUR_EDT_SERVER):

  • 8.3.24 → server YOUR_EDT_SERVER:1641, container onec-server-24, web port 8081
  • 8.3.25 → server YOUR_EDT_SERVER:1541, container onec-server-25, web port 8080
  • 8.3.27 → server YOUR_EDT_SERVER:1741, container onec-server-27, web port 8082
4. Generate CLAUDE.md

Read template: C:\Users\YOUR_USERNAME\workspace\ai\1c-AI-workspace\.claude\skills\1c-project-init\templates\CLAUDE.md.template Fill all placeholders:

  • {{PROJECT_NAME}} — project name
  • {{PROJECT_DESCRIPTION}} — brief description (include project type + extensions if applicable)
  • {{V8_VERSION}} — platform version (e.g. 8.3.25)
  • {{SERVER}} — YOUR_EDT_SERVER
  • {{PORT}} — from platform map
  • {{SERVER_SUFFIX}} — 24 / 25 / 27
  • {{WEB_PORT}} — from platform map
  • {{BASE_NAME}} — 1C base name
  • {{PUBLICATION}} — web publication name
  • {{EXTENSION_LINE}} — - Extensions: <names> if extensions present, else omit line
  • {{DEV_ZONE}} — src/ / ext/<ExtName>/ / src/ + ext/<ExtName>/
  • {{DEV_ZONE_NOTE}} — All modifications go into the extension, not the base configuration. if extension-only or mixed; empty if configuration-only
  • {{STRUCTURE_LINES}} — include src/ line if has config, ext/ line if has extensions:
    • config: src/ — configuration source
    • extension: ext/<ExtName>/ — extension source (primary development zone)
    • both: src/ — base configuration source (read-only reference)\next/<ExtName>/ — extension source (PRIMARY development zone)

Write to <target>/CLAUDE.md.

5. Generate .mcp.json

Read template: C:\Users\YOUR_USERNAME\workspace\ai\1c-AI-workspace\.claude\skills\1c-project-init\templates\mcp.json.template Fill all placeholders:

  • {{PROJECT_NAME}} — project directory name (for bsl-lsp container)
  • {{PUBLICATION}} — web publication name (for ai-debug URL)
  • {{WEB_PORT}} — from platform map (8081/8080/8082)
  • {{ADMIN_USER}} — admin login
  • {{ADMIN_PWD}} — admin password
  • {{CODEMETADATA_URL}} — codemetadata MCP URL. Format: http://YOUR_MCP_SERVER:<PORT>/mcp. Port from registry: next free in 7530+ range. If codemetadata not yet deployed, use placeholder http://YOUR_MCP_SERVER:{{CODEMETADATA_PORT}}/mcp and note in report.

Write to <target>/.mcp.json.

6. Generate .v8-project.json if not exists

Read template: C:\Users\YOUR_USERNAME\workspace\ai\1c-AI-workspace\.claude\skills\1c-project-init\templates\v8-project.json.template Fill all placeholders:

  • {{V8PATH}} — C:\\Program Files\\1cv8\\<V8_VERSION>\\bin matching the server platform. NEVER leave empty — local default may be a different version.
  • {{PORT}} — from platform map (1641/1541/1741)
  • {{BASE_NAME}} — 1C base name
  • {{ADMIN_USER}} — admin login
  • {{ADMIN_PWD}} — admin password
  • {{WEB_PORT}} — from platform map (8081/8080/8082)
  • {{PUBLICATION}} — web publication name

Write to <target>/.v8-project.json.

7. Create openspec structure if mode = new
openspec/
  project.md        ← project context for AI
  changes/          ← active proposals
  specs/            ← feature specs
  archive/          ← done
dist/               ← built artifacts (CFE/CF/EPF) — tracked in git for distribution
8. Deploy infobase on CT107 (mode = new)

Ask: "Развернуть базу на CT107?"

If yes:

Step 8.1 — Copy .dt file to CT107 (/mnt/data/data-24/ maps to /var/lib/onec/ inside container):

powershell
scp "<dt_file_path>" root@YOUR_EDT_SERVER:/mnt/data/data-<SERVER_SUFFIX>/<BASE_NAME>.dt

Step 8.2 — Ensure Xvfb is running in the target container (required for 1cv8 DESIGNER):

bash
ssh root@YOUR_EDT_SERVER "docker exec onec-server-<SERVER_SUFFIX> pgrep Xvfb || docker exec -d onec-server-<SERVER_SUFFIX> Xvfb :99 -screen 0 1024x768x16"

deploy-infobase.sh uses DISPLAY=:99 but does NOT auto-start Xvfb. Without this step, deploy fails with "Unable to initialize GTK+".

Step 8.2b — Run deploy script on CT107:

bash
ssh root@YOUR_EDT_SERVER "/opt/1c-dev/deploy-infobase.sh --name <BASE_NAME> --dt /mnt/data/data-<SERVER_SUFFIX>/<BASE_NAME>.dt --server <SERVER_SUFFIX> --admin-user <user> --admin-pwd <pwd>"

Script /opt/1c-dev/deploy-infobase.sh — universal script (supports 24/25/27):

  • --server 24|25|27 — selects container (onec-server-XX), ports, web container automatically
  • Auto-detects platform version (ls /opt/1cv8/x86_64/ inside container)
  • Auto-detects cluster ID via rac cluster list
  • DT path mapping: /mnt/data/data-<SERVER>/X.dt → /var/lib/onec/X.dt inside container

Does 4 steps automatically:

  1. Check if infobase already exists (rac infobase summary list); if not — create via rac infobase create + PostgreSQL DB (--create-database). Fails with error if UUID can't be obtained.
  2. 1cv8 DESIGNER /RestoreIB — restores .dt. Verifies "успешно завершена" in log, exits on failure.
  3. onec-webinst.sh publish — publishes web in onec-web-<SERVER_SUFFIX>
  4. rac infobase update --license-distribution=allow

Script behaviour:

  • DB password read from /opt/1c-dev/secrets/pg_password (not hardcoded)
  • Lock file /tmp/deploy-<NAME>.lock prevents concurrent runs
  • Log written to /tmp/deploy-<NAME>-<timestamp>.log (timestamped, not overwritten)
  • set -euo pipefail — stops on any error

Known cluster IDs: 8.3.24=eecfed03-e569-4bc7-a729-b8518e4b6859, 8.3.27=0c2ac9c1-8017-4ac8-8b93-35f1409a3ecb. Result URL: http://YOUR_EDT_SERVER:<WEB_PORT>/<BASE_NAME>/

Step 8.3 — Verify infobase availability:

bash
# 1. Infobase registered in cluster
ssh root@YOUR_EDT_SERVER "docker exec onec-server-24 /opt/1cv8/x86_64/<ONEC_VERSION>/rac localhost:1645 infobase summary --cluster=<CLUSTER_ID> | grep -i '<BASE_NAME>'"

# 2. Web publication responds
curl -s -o /dev/null -w "%{http_code}" "http://YOUR_EDT_SERVER:<WEB_PORT>/<BASE_NAME>/"
# Expected: 200 or 302

# 3. HTTP API available (if 1c-ai-debug configured)
curl -s "http://YOUR_EDT_SERVER:<WEB_PORT>/<BASE_NAME>/hs/ai/ping" -u "<user>:<pwd>"
# Expected: {"status":"ok"} or any 200 response

Only proceed to next steps if web check returns 200/302. If 503/404 — check deploy log on CT107: docker exec onec-server-24 cat /var/lib/onec/restore_<BASE_NAME>.log

Show full SKILL.md (461 more words)Show less
8.3.1. Install AI_Debug extension (MANDATORY for all 1C projects)

AI_Debug extension provides: HTTP API for MCP (1c-ai-debug), unit test framework (ЮТТесты/ЮТУтверждения), and hosts all *_Test modules. Without it, 1c-ai-debug MCP and /1c-test-runner won't work.

Source: C:\Users\YOUR_USERNAME\workspace\ai\1c-ai-debug-extension\dist\AI_Debug.cfe (pre-built, kept in git).

powershell
# Load extension into database
powershell.exe -NoProfile -File .claude/skills/db-load-xml/scripts/db-load-xml.ps1 `
  -V8Path "C:\Program Files\1cv8\<V8_VERSION>\bin" `
  -InfoBaseServer "YOUR_EDT_SERVER:<PORT>" `
  -InfoBaseRef "<BASE_NAME>" `
  -UserName "<ADMIN_USER>" -Password "<ADMIN_PWD>" `
  -ConfigDir "C:\Users\YOUR_USERNAME\workspace\ai\1c-ai-debug-extension\src" `
  -Extension "AI_Debug" -Mode Full

Then update DB to apply extension:

powershell
powershell.exe -NoProfile -File .claude/skills/db-update/scripts/db-update.ps1 `
  -V8Path "C:\Program Files\1cv8\<V8_VERSION>\bin" `
  -InfoBaseServer "YOUR_EDT_SERVER:<PORT>" `
  -InfoBaseRef "<BASE_NAME>" `
  -UserName "<ADMIN_USER>" -Password "<ADMIN_PWD>"

Verify: curl -s "http://YOUR_EDT_SERVER:<WEB_PORT>/<BASE_NAME>/hs/ai/ping" -u "<user>:<pwd>" → {"status":"ok"}.

Test modules go HERE — never into the main project configuration. See "Test modules (*_Test)" rule in global CLAUDE.md.

8.3.2. Deploy codemetadata MCP (MANDATORY for all 1C projects)

Follow the codemetadata MCP — auto-deploy section in ~/.claude/1c-development-rules.md.

Summary:

  1. Find XML config dump in project (src/cf/, src/src/, or src/cfe/)
  2. Copy to CT104: ssh proxmox "pct exec 104 -- mkdir -p /mnt/onec-xml/<PROJECT>/src/cf ..."
  3. Add service to C:\Users\YOUR_USERNAME\workspace\ai\1c-enhanced-codemetadata\docker-compose-ct104.yml with next free port (7530+)
  4. Deploy: scp compose file → docker compose up -d <project>-codemetadata-enhanced
  5. Update {{CODEMETADATA_URL}} in .mcp.json with actual port
  6. Verify: curl -s "http://YOUR_MCP_SERVER:<PORT>/health"

Port registry (from 1c-development-rules.md): minimkg=7530, mcparqa24=7540, ai-debug=7550, kaf=7560, next=7570, ...

If source dump not yet available (step 8.4 hasn't run yet), defer codemetadata deploy to AFTER step 8.4 completes.

8.4. Export source from deployed database

Use /db-dump-xml skill — reads .v8-project.json automatically, runs local DESIGNER against remote server. Do NOT run DESIGNER manually inside the container — the skill works fine from the local machine with PROF license.

8.4.1 — Export main configuration (if project type = configuration or both):

powershell
powershell.exe -NoProfile -File .claude/skills/db-dump-xml/scripts/db-dump-xml.ps1 `
  -V8Path "C:\Program Files\1cv8\<V8_VERSION>\bin" `
  -InfoBaseServer "YOUR_EDT_SERVER:<PORT>" `
  -InfoBaseRef "<BASE_NAME>" `
  -UserName "<ADMIN_USER>" -Password "<ADMIN_PWD>" `
  -ConfigDir "src" -Mode Full

IMPORTANT: Always pass -V8Path matching the server platform version. The local default 1cv8.exe may be a newer version (e.g. 8.3.27), causing "version mismatch" error if server is 8.3.24 or 8.3.25.

Note: Full config dump can take several minutes (17k+ XML files is normal for ERP/BSP-based configs).

8.4.2 — Export extension(s) (if project type = extension or both):

For each extension name in EXTENSION_NAMES:

powershell
powershell.exe -NoProfile -File .claude/skills/db-dump-xml/scripts/db-dump-xml.ps1 `
  -InfoBaseServer "YOUR_EDT_SERVER:<PORT>" `
  -InfoBaseRef "<BASE_NAME>" `
  -UserName "<ADMIN_USER>" -Password "<ADMIN_PWD>" `
  -ConfigDir "ext/<EXTENSION_NAME>" -Extension "<EXTENSION_NAME>" -Mode Full

If project type = extension only — skip step 8.4.1, only export extension(s). If project type = configuration + extension — do both 8.4.1 and 8.4.2.

9. Initialize git repository
bash
# 1. Create .gitignore
cat > .gitignore << 'EOF'
# 1C binaries (intermediate/working files)
*.dt

# Built artifacts in dist/ are tracked (for distribution)
# All other CF/CFE/EPF/ERF outside dist/ are ignored
*.cf
*.cfe
*.epf
*.erf
!dist/*.cf
!dist/*.cfe
!dist/*.epf
!dist/*.erf

# Credentials (contains passwords)
.v8-project.json

# Logs and temp
*.log
tmp/

# OS
.DS_Store
Thumbs.db
EOF

# 2. Create .gitattributes
cat > .gitattributes << 'EOF'
* text=auto eol=lf
src/**/*.xml text eol=lf
src/**/*.mdo text eol=lf
*.ps1 text eol=crlf
*.dt binary
*.cf binary
*.cfe binary
*.epf binary
*.erf binary
EOF

# 3. Init repo
git init
git config user.name "Arman"
git config user.email "arman@localhost"
bash
# 4. Create Gitea repo via API
curl -s -X POST "http://YOUR_SERVER:3000/api/v1/user/repos" \
  -H "Authorization: token YOUR_GITEA_TOKEN" \
  -H "Content-Type: application/json" \
  -d "{\"name\":\"<PROJECT_NAME>\",\"description\":\"<PROJECT_DESCRIPTION>\",\"private\":true}"
bash
# 5. Add remote, commit, push
git remote add gitea http://admin:admin123@YOUR_SERVER:3000/admin/<PROJECT_NAME>.git

# Add dirs based on project type:
# configuration only:   git add .gitignore .gitattributes CLAUDE.md .mcp.json openspec/ .claude/ src/
# extension only:       git add .gitignore .gitattributes CLAUDE.md .mcp.json openspec/ .claude/ ext/ dist/
# configuration + ext:  git add .gitignore .gitattributes CLAUDE.md .mcp.json openspec/ .claude/ src/ ext/ dist/

git commit -m "Initial commit: project scaffold + source"
git push -u gitea master

Note: git push with 17k+ files takes time. Run in background if needed. Note: .v8-project.json is intentionally excluded (contains passwords) — keep it only locally.

10. Configure mcp-bsl-lsp on CT100

The mcp-lsp-<PROJECT_NAME> container was created by the init script but needs:

10.1 — Clone project to CT100 workspace:

bash
ssh root@YOUR_SERVER "git clone http://admin:admin123@YOUR_SERVER:3000/admin/<PROJECT_NAME>.git /opt/workspace/<PROJECT_NAME>"

10.2 — Recreate container with correct WORKSPACE_ROOT:

  • If extension project: WORKSPACE_ROOT=/projects/<PROJECT_NAME>/ext/<EXTENSION_NAME>
  • If configuration only: WORKSPACE_ROOT=/projects/<PROJECT_NAME>/src
  • If both: WORKSPACE_ROOT=/projects/<PROJECT_NAME>/src (LSP indexes base config; ext files accessed via Grep)
bash
ssh root@YOUR_SERVER "
docker stop mcp-lsp-<PROJECT_NAME> && docker rm mcp-lsp-<PROJECT_NAME> && \
docker run -d \
  --name mcp-lsp-<PROJECT_NAME> \
  --restart unless-stopped \
  -v /opt/workspace:/projects:rw \
  -e MCP_LSP_BSL_JAVA_XMX=4g \
  -e MCP_LSP_BSL_JAVA_XMS=1g \
  -e MCP_LSP_LOG_LEVEL=error \
  -e FILE_WATCHER_MODE=polling \
  -e FILE_WATCHER_INTERVAL=30s \
  -e HOST_PROJECTS_ROOT=/opt/workspace \
  -e PROJECTS_ROOT=/projects \
  -e WORKSPACE_ROOT=/projects/<PROJECT_NAME>/<DEV_PATH> \
  mcp-lsp-bridge-bsl:latest
"

10.3 — Set up auto-sync (git pull on CT100 every 5 min):

bash
ssh root@YOUR_SERVER "(crontab -l 2>/dev/null; echo '*/5 * * * * cd /opt/workspace/<PROJECT_NAME> && git pull --quiet origin master 2>/dev/null') | crontab -"

Note: .mcp.json template uses /usr/bin/mcp-lsp-bridge (correct path in container).

11. Report

List what was created/updated. Remind user to configure:

  • v8path in .v8-project.json if auto-detect fails
  • Open project with claude in target directory (MCP servers load from .mcp.json)

Enrich mode specifics

Compare skill files by content hash — copy only if workspace version is newer or file missing in target. Always overwrite .claude/docs/ (platform specs don't change per-project). Never overwrite: CLAUDE.md, .mcp.json, .v8-project.json, openspec/.

© Arman-Kudaibergenov, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts) in .claude/skills/1c-project-init of Arman-Kudaibergenov/1c-ai-development-kit.

  • SKILL.md
  • scripts/init.ps1
  • templates/CLAUDE.md.template
  • templates/mcp.json.template
  • templates/v8-project.json.template

Open the folder on GitHubat commit 92d389e

Compare with similar skills

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MCP Scaffoldtimothywarner-org/claude-code224—~940Automated safety check: PassMIT
Create Harnessruvnet/metaharness694—~777Automated safety check: PassMIT
Drydock Repo Harness SetupYeachan-Heo/oh-my-claudecode40k—~5.2kAutomated safety check: PassMIT

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    timothywarner-org/claude-code

    Scaffold production-ready Python MCP servers using FastMCP. An agent skill from timothywarner-org/claude-code.

    224 GitHub stars~940 tokensUpdated 2 mo ago
    Agent WorkflowsAuto-check passed
  • Create Harness

    ruvnet/metaharness

    Scaffold your own focused AI agent harness — pick host (Claude Code, Codex, pi.dev, Hermes), template, agents, skills, and ship a npm-publishable harness with its own npx CLI.

    694 GitHub stars~777 tokensUpdated today
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  • Drydock Repo Harness Setup

    Yeachan-Heo/oh-my-claudecode

    Sets up a shared repo environment for people and agents: CLAUDE.md, a CONTEXT.md glossary, ADRs, standards and a design-system folder, and audits drift with --check.

    40k GitHub stars~5.2k tokensUpdated yesterday
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  • List Templates

    ruvnet/metaharness

    List the available harness templates and what each one ships with.

    694 GitHub stars~417 tokensUpdated today
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More from Arman-Kudaibergenov/1c-ai-development-kit

All 50 skills in this repo
  • 1c Web Session

    Arman-Kudaibergenov/1c-ai-development-kit

    Этот скилл MUST быть вызван для управления 1С:Предприятие в веб-клиенте через Playwright MCP: запуск/перезапуск/завершение сеанса, навигация, создание и редактирование справочников и документов.

    166 GitHub stars~2.5k tokensUpdated 4 mo ago
    Auto-check: notes
  • Inspect

    Arman-Kudaibergenov/1c-ai-development-kit

    Этот скилл MUST быть вызван для анализа и инспекции любого объекта 1С из XML-выгрузки: конфигурация (cf-info), объект метаданных (meta-info), управляемая форма (form-info), схема компоновки данных…

    166 GitHub stars~3.4k tokensUpdated 4 mo ago
    Auto-check: notes
  • Cf Edit

    Arman-Kudaibergenov/1c-ai-development-kit

    Этот скилл MUST быть вызван когда нужно изменить свойства конфигурации, добавить или удалить объект из состава ChildObjects, настроить роли по умолчанию.

    166 GitHub stars~582 tokensUpdated 4 mo ago
    Auto-check: notes
  • Cfe Diff

    Arman-Kudaibergenov/1c-ai-development-kit

    Этот скилл MUST быть вызван когда нужно проанализировать состав расширения (CFE): заимствованные объекты, перехватчики, проверить перенесены ли вставки.

    166 GitHub stars~531 tokensUpdated 4 mo ago
    Auto-check: notes
  • Cfe Init

    Arman-Kudaibergenov/1c-ai-development-kit

    Этот скилл MUST быть вызван когда пользователь просит создать новое расширение конфигурации (CFE) для исправления, доработки или дополнения.

    166 GitHub stars~569 tokensUpdated 4 mo ago
    Auto-check: notes
  • Cfe Patch Method

    Arman-Kudaibergenov/1c-ai-development-kit

    Этот скилл MUST быть вызван когда нужно перехватить метод заимствованного объекта в расширении: вставить код до, после или вместо оригинального.

    166 GitHub stars~794 tokensUpdated 4 mo ago
    Auto-check: notes

Questions about 1c Project Init

What does 1c Project Init do?

Этот скилл MUST быть вызван когда пользователь говорит "инициализируем проект", "init project", просит настроить 1С-проект. 1c Project Init is an agent skill from Arman-Kudaibergenov/1c-ai-development-kit. Этот скилл MUST быть вызван когда пользователь говорит "инициализируем проект", "init project", просит настроить 1С-проект.

When should I use 1c Project Init?

1c Project Init fits situations like: tasks that involve Project scaffolding.

How do I install 1c Project Init in Claude Code?

Run `npx skills add Arman-Kudaibergenov/1c-ai-development-kit --skill 1c-project-init -a claude-code`. Or copy the skill folder (.claude/skills/1c-project-init in Arman-Kudaibergenov/1c-ai-development-kit) into .claude/skills/1c-project-init in your project. Claude Code loads it when a task matches its description.

How do I install 1c Project Init in Codex?

Run `npx skills add Arman-Kudaibergenov/1c-ai-development-kit --skill 1c-project-init -a codex`. Or copy the skill folder (.claude/skills/1c-project-init in Arman-Kudaibergenov/1c-ai-development-kit) into .agents/skills/1c-project-init in your project. Codex loads it when a task matches its description.

Can I use 1c Project Init in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Arman-Kudaibergenov/1c-ai-development-kit --skill 1c-project-init -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/1c-project-init, .gemini/skills/1c-project-init, .github/skills/1c-project-init and .opencode/skills/1c-project-init in your project.

What does 1c Project Init need to run?

Going by SKILL.md and its folder, 1c Project Init needs PowerShell for the scripts in its folder and the command-line tools its instructions call (ssh, git, docker, curl and scp). Our summary lists: PowerShell; Docker. Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Glob, AskUserQuestion.

Does 1c Project Init access the network?

SKILL.md contains no URLs. Its commands use ssh, git, docker and curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is 1c Project Init safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. 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.

What licence does 1c Project Init use?

1c Project Init is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does 1c Project Init use?

About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to 1c Project Init?

Skills that share tags, products or a category with 1c Project Init: Chatgpt Apps (Haohao-end/openagent, 808 stars), Writing Plugins (nukeop/nuclear, 19k stars), MCP Scaffold (timothywarner-org/claude-code, 224 stars) and Create Harness (ruvnet/metaharness, 694 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains 1c Project Init?

Arman-Kudaibergenov (a GitHub user) maintains it in Arman-Kudaibergenov/1c-ai-development-kit, which has 166 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on May 25, 2026.

Source: Arman-Kudaibergenov/1c-ai-development-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.