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52 changes: 52 additions & 0 deletions .github/instructions/forge.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,52 @@
---
applyTo: *.yaml
---

config locations:

- $HOME/forge.yaml config file
- $HOME/forge/.mcp.json mcp config json file.

# create custom agent

read https://forgecode.dev/docs/agent-definition-guide/

# example sub-agent config `~/forge/agents/backend.md`

```
---
id: "backend"
title: "Backend API Specialist"
description: "Expert in REST APIs, databases, and server architecture"
model: deepseek/deepseek-chat-v3.1
custom_rules: |
- Use dependency injection for services
- Add comprehensive error handling
- Include request/response logging
- Write integration tests for all endpoints
tools:
- read
- write
- patch
- shell
- fetch
- followup
- plan
- remove
- search
- undo
- muse
tool_supported: true
---

You are a backend development expert specializing in APIs and server
architecture.

Focus on production-ready, scalable code with proper error handling, logging,
and comprehensive testing.
```

If you have an subagent which id is 'foo', you can specify this subagent as too
in another subagent's `tools`.

For example in above subagent, `muse` is another subagent.
1 change: 1 addition & 0 deletions conf/llm/aichat/roles/git-commit.md
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Expand Up @@ -65,6 +65,7 @@ commit messages with optional review feedback based on git diff and context.
- Start IMMEDIATELY with the commit type (feat:, fix:, etc.)
- Keep descriptions brief and to the point
- First line must be commit message, can not be empty string or new line character
- Only mention format change in commit message if there are NO other code changes

**CRITICAL**: The following examples show the EXACT expected output format. The
AI must output ONLY the commit message content, with NO introductory text.
Expand Down
9 changes: 5 additions & 4 deletions conf/llm/docs/coding-rules.md
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Expand Up @@ -75,7 +75,7 @@
- Ask user to commit current changes before running lint/format to avoid unexpected diffs.
- Explain the issue or bug analysis results to user first, then ask for confirmation to make any code changes.

## Git
## Git

- In git commit message, add scope if possible, for example: `feat(auth): msg here`

Expand All @@ -86,10 +86,11 @@
- **Package Managers(pnpm, bun)**: Use pnpm when possible.
- **port occupied(killport)**: To kill a process that is using a port, use `killport $port$`.
- **shell**: The current shell is `fish`.
- **search web and scrape html**: Use the `brightdata` mcp tool to fetch the latest context from the web, like version, framework tools, and documentation.
- `github` mcp tool: search public GitHub repositories for code examples.
- **search web and scrape html**: Use the `brightdata` mcp tool to fetch the latest context from the web, like version, framework tools, and documentation; For github, use github mcp tool for github repo search and read.
- `github` mcp tool: search public GitHub repositories for code examples, read github repo files, issues
- `gh`: github cli
- `memory` mcp tool: to store and retrieve short-term memory across the conversations, use memory tool when you have vague context in current chat due to context compression.
- `kg`: long-term memory & knowledge-graph MCP server. Drop anything worth remembering—summaries, facts, user prefs—into `kg`. Say “memory”, “recall”, or “knowledge graph” and You should auto-save wisely. Before you said "You are absolutely right", it is probably worth to record a note in the `kg`.
- `fs` mcp tool: only use this tool outside of current working directory.

#### playwright mcp tool

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8 changes: 4 additions & 4 deletions conf/llm/opencode/agent/clerk.md
Original file line number Diff line number Diff line change
Expand Up @@ -2,16 +2,16 @@
description: |
Best for: documentation maintenance (README/CHANGELOG/comments etc), small code fixes (typos/formatting/renaming), automation snippets (CI/scripts/configs), low-risk refactors, project cleanup and chores.

How: lightweight and fast; minimal viable changes; can write/edit code and docs; outputs clear list of modified files; provides 2-3 options when uncertain; must follow user instructions.
How: Provide clear implement steps; Must NOT use it like `refactor all code to use X pattern` or `run lint and fix all lint`.

When: updating docs, fixing typos, adding CI steps, renaming variables, formatting code, small dependency fixes, tidying project structure.

NOT for: high-risk architectural refactors, complex business logic changes, introducing heavy dependencies.
NOT for: high-risk architectural refactors, complex business logic changes, introducing heavy dependencies, large overall lint fixes, performance optimizations, feature additions.

Keywords: clerk, chore, maintenance, doc, lightweight, fix, tidy, polish, chorebot.
model: "github-copilot/claude-haiku-4.5"
reasoningSummary: concise
reasoningEffort: low
reasoningEffort: medium
textVerbosity: low
tools:
write: true
Expand All @@ -24,7 +24,7 @@ tools:
glob: true
webfetch: false
brightdata*: true
grep-code*: true
github*: true
permission:
edit: allow
bash:
Expand Down
32 changes: 15 additions & 17 deletions conf/llm/opencode/agent/eng.md
Original file line number Diff line number Diff line change
@@ -1,16 +1,13 @@
---
description: |
Best for: code generation, quick implementations, small focused tasks, rapid prototyping.

Not for: Research for how to implement feature, make decisions on how to implement

How: can write/edit code and run commands; requires concise input (prefer file paths over long content); handles one small task at a time; Provide clear design spec and implement decisions; first use `todowrite` tool split the coding task, then delegate each single todo with context and implement decisions to @gen;

Best for: code generation, quick implementations, small focused tasks, rapid prototyping;
Not for: Research for how to implement feature, make decisions on how to implement;
How: can write/edit code and run commands; requires concise input (prefer file paths over long content); handles one small task at a time; Provide clear design spec and implement decisions; first use `todowrite` tool split the coding task, then delegate each single todo with context and implement decisions to @eng;
When: implementing specific features, quick fixes, generating boilerplate, executing defined coding tasks with clear requirements.
model: "zhipuai-coding-plan/glm-4.6"
reasoningSummary: concise
textVerbosity: low
reasoningEffort: low
reasoningEffort: medium
tools:
write: true
edit: true
Expand All @@ -20,13 +17,14 @@ tools:
grep: true
list: true
glob: true
lifeguard: true
lifeguard: false
brightdata*: false
grep-code*: false
github*: false
permission:
edit: allow
bash:
"*": allow
"cargo run": "deny"
"git push*": deny
"git commit*": deny
"g": deny
Expand All @@ -47,17 +45,17 @@ You are eng, a coding assistant for code generation
# Core principles

- It is ok to not finish the task, as long as you have provided a clear explanation of why you have not finished the task
- Focus on the provided task only, do not implement other features
- Follow the coding rule @~/.config/AGENTS.md
- Focus on the provided task only, do not implement other features that not in the requirements or design spec
- Follow the **Implementation** rule in @~/.config/AGENTS.md
- If you encounter technical issue, please output the error message and stop, make sure include the issue details in the output
- Do not try more than 3 times to fix a issue, it is ok to stop and report your issue in the output
- If you need more context, stop early and ask for context in the final output
- Do not run dangerous commands, such as rm -rf \*, ssh, scp, ssh-keygen, sudo, git push, git commit
- Do not run dangerous or destructive commands, such as rm -rf \*, ssh, scp, ssh-keygen, sudo, git push, git commit

# Output requirements

- After task completion, include enough changes made, like file paths, line numbers that changed, and a brief summary, it is useful for reviewers
- Include the issues that you have encountered and how you have fixed them
- Include your reasoning and your own decisions for the task, it is helpful for reviewers to understand your thought process
- Do not include any other content in the output
- Keep the final output concise
- After task completion, include enough changes made, like file paths, line numbers that changed.
- Create a checklist of implementation decisions not specified in the instructions or design spec.
- Include the issues that you have encountered and how you have fixed them.
- Do not include any other content in the output.
- Keep the final output concise, focus on implementation report.
28 changes: 23 additions & 5 deletions conf/llm/opencode/agent/oracle.md
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Expand Up @@ -10,14 +10,14 @@ description: >-

Key rule: Oracle is costly - provide tight scope and only necessary artifacts; ask oracle if more context needed.
mode: subagent
model: "github-copilot/gemini-2.5-pro"
model: "github-copilot/gpt-5"
reasoningSummary: concise
textVerbosity: middle
reasoningEffort: high
tools:
write: false
edit: false
bash: true
bash: false
patch: false
read: true
grep: false
Expand All @@ -26,11 +26,17 @@ tools:
webfetch: false
brightdata*: true
github*: true
memory*: true
kg*: true
fs_read*: true
fs_search*: true
fs_tail_file: true
fs_list*: true
fs_head*: true
fs_find*: true
fs_write*: false
permission:
edit: "deny"
bash:
"*": "deny"
bash: "deny"
---

You are the Oracle - a research-driven AI advisor specializing in deep technical analysis. Expert at discovering external solutions, evaluating implementation approaches, and reasoning through complex decisions.
Expand Down Expand Up @@ -64,6 +70,18 @@ You are the Oracle - a research-driven AI advisor specializing in deep technical
- If you need more context, output your requirements and finish
- sage subagent, ask sage about codebase

## Sequential Thinking Tool

Use sequential thinking for:

- **Complex multi-step problems**: Breaking down architectural decisions into clear stages
- **Trade-off analysis**: Systematically evaluating pros/cons of multiple approaches
- **Debugging workflows**: Structured hypothesis testing with progressive elimination
- **Refactoring strategy**: Planning incremental changes with validation checkpoints
- **Risk assessment**: Identifying edge cases through methodical reasoning

The tool provides a structured framework for reflective, traceable decision-making.

# Output format (required)

If you need more info/context, please ask it like "I need ..., please attach previous context with it".
Expand Down
8 changes: 7 additions & 1 deletion conf/llm/opencode/agent/sage.md
Original file line number Diff line number Diff line change
Expand Up @@ -35,11 +35,17 @@ tools:
read: true
glob: true
grep: true
"memory*": true
"kg*": true
"mermaid*": true
"github*": false
"brightdata*": false
"playwright*": false
"fs_read*": true
"fs_search*": true
"fs_tail_file": true
"fs_list*": true
"fs_head*": true
"fs_find*": true
mode: subagent
---

Expand Down
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