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@gcallaghan gcallaghan commented Oct 25, 2025

Summary

Introduces a generic mechanism for discovering and invoking multiple agents with similar capabilities in parallel, then synthesizing their findings with consensus validation.

Changes

  • New skill: invoking-similar-agents - Generic pattern for multi-agent invocation
  • Updated skill: requesting-code-review - Now uses multi-agent discovery
  • Documentation: MULTI_AGENT_UPDATES.md - Comprehensive implementation guide

Key Features

  • Automatic discovery: Finds all agents with similar names/roles across built-in, superpowers, and custom agents
  • Parallel dispatch: Invokes all discovered agents simultaneously
  • Consensus validation: Issues found by 2+ agents marked as high priority
  • Generic pattern: Works for any agent type (code-review, debugging, architecture, etc.)
  • Backward compatible: Works with single agent or multiple agents

Benefits

  • Comprehensive coverage from multiple perspectives
  • High-confidence issue detection through consensus
  • Reduced blind spots (one agent's weakness is another's strength)
  • No manual configuration needed
  • Extensible to any domain where multiple perspectives add value

Testing

  • ✅ Agent discovery algorithm validated
  • ✅ Works with both custom and superpowers agents
  • ✅ Handles name variations (dashes, underscores, prefixes)
  • ✅ Backward compatible with single agent usage

Documentation

See MULTI_AGENT_UPDATES.md for:

  • Complete usage examples
  • Architecture details
  • Migration guide
  • Future enhancements

🤖 Generated with Claude Code

Summary by CodeRabbit

  • New Features

    • Multi-agent invocation: automatic discovery of similar agents across sources, parallel execution, and synthesized aggregation of results (consensus, unique findings, contradictions, action plans).
  • Improvements

    • Code-review workflow now dispatches multiple reviewers concurrently and produces consolidated, synthesized feedback and decisions.
  • Documentation

    • Added comprehensive multi-agent docs, a new skill guide for invoking similar agents, usage/testing steps, migration/rollback guidance, and future enhancement notes.

This commit introduces a generic mechanism for discovering and invoking
multiple agents with similar capabilities in parallel, then synthesizing
their findings with consensus validation.

Changes:
- New skill: invoking-similar-agents
  * Generic pattern for multi-agent discovery and invocation
  * Works across all agent sources (built-in, superpowers, custom)
  * Parallel dispatch with result synthesis
  * Consensus validation (issues found by 2+ agents = high priority)
  * Generic - not limited to code-review

- Updated skill: requesting-code-review
  * Now uses invoking-similar-agents for agent discovery
  * Automatically finds all code-reviewer agents
  * Added examples for single and multiple reviewer workflows
  * Backward compatible with single agent usage

- Documentation: MULTI_AGENT_UPDATES.md
  * Comprehensive implementation guide
  * Usage examples and benefits
  * Architecture and testing results
  * Migration guide for users

Benefits:
- Automatic discovery - no manual configuration
- Diverse perspectives from multiple agents
- Consensus validation reduces false positives
- Comprehensive coverage - multiple agents catch different issues
- Extensible to any agent type (debugging, architecture, performance, etc.)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>
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📥 Commits

Reviewing files that changed from the base of the PR and between c9fc55c and 3bafec0.

📒 Files selected for processing (1)
  • skills/invoking-similar-agents/SKILL.md (1 hunks)

Walkthrough

Adds documentation-only multi-agent invocation support: new top-level MULTI_AGENT_UPDATES.md, a new skill doc describing discovery, parallel dispatch, and result synthesis (consensus/unique/contradictions/action plan), and updates requesting-code-review to use the multi-agent workflow. No public APIs changed.

Changes

Cohort / File(s) Summary
Top-level Multi-Agent Doc
MULTI_AGENT_UPDATES.md
New top-level documentation describing the multi-agent invocation design, discovery sources (custom, superpowers, built-in), workflows, synthesis algorithm (consensus, unique findings, contradictions, strengths, action plans), testing, migration, and rollback.
Invoking-Similar-Agents Skill
skills/invoking-similar-agents/SKILL.md
New skill doc detailing an agent discovery algorithm (normalization, search across sources, capability filtering, deduplication), parallel dispatch semantics (independent execution, no shared state), result aggregation format, synthesis rules, examples, configuration, testing scenarios, and future enhancements.
Requesting-Code-Review Skill (updated)
skills/requesting-code-review/SKILL.md
Updated to call invoking-similar-agents for automatic discovery and parallel invocation of code-reviewer agents; replaced single-reviewer language with single/multiple reviewer examples, added context-prep and synthesis handling, consensus guidance, and links to the invoking-similar-agents pattern.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant Invoker as invoking-similar-agents
    participant Discovery as Agent Discovery
    participant Agents as Discovered Agents
    participant Synth as Result Synthesizer

    User->>Invoker: Request (role/capability + context)
    Invoker->>Discovery: Discover agents (normalize → search sources → filter → dedupe)
    Discovery-->>Invoker: Matching agent list

    par Parallel invocation
        Invoker->>Agents: Dispatch Agent A
        Invoker->>Agents: Dispatch Agent B
        Invoker->>Agents: Dispatch Agent N
    end
    Agents-->>Invoker: Individual results

    Invoker->>Synth: Aggregate results
    Synth->>Synth: Classify consensus, unique findings, contradictions, strengths, action plan
    Synth-->>Invoker: Synthesized Multi-Agent Summary

    Invoker-->>User: Unified synthesized report
Loading

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

  • Review focus:
    • Consistency between MULTI_AGENT_UPDATES.md and skills/*/SKILL.md descriptions and examples.
    • Clarity and completeness of the discovery algorithm steps (normalization, source search, filtering, deduplication).
    • Synthesis rules and example outputs in skills/invoking-similar-agents/SKILL.md and updated skills/requesting-code-review/SKILL.md.

Poem

🐇 I hop from doc to doc with glee,

I call my friends to look and see.
We run in parallel, bright and keen,
We stitch a verdict, crisp and clean.
Together we make every change serene.

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
✅ Passed checks (2 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title Check ✅ Passed The PR title "Add generic multi-agent invocation for comprehensive reviews" accurately reflects the primary change in the changeset. The PR introduces a new generic multi-agent invocation pattern (invoking-similar-agents skill) that enables discovering and invoking multiple agents in parallel, which is then applied to the requesting-code-review skill. The title is concise, specific, and uses clear terminology without vague language or noise. A teammate scanning the repository history would immediately understand that this PR adds a new capability for multi-agent coordination focused on improving review comprehensiveness.

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Actionable comments posted: 0

🧹 Nitpick comments (3)
skills/requesting-code-review/SKILL.md (1)

70-94: Add language specifier to example code block.

The fenced code block at lines 70–94 lacks a language identifier. While the content is example output (pseudocode), adding a language specifier improves markdown consistency and rendering.

-```
+```markdown
 [Just completed Task 2: Add verification function]
 
 You: Let me request code review before proceeding.
skills/invoking-similar-agents/SKILL.md (2)

128-137: Replace bold emphasis with markdown headings for algorithm steps.

Lines 128, 139, 151, and 156 use bold emphasis (**Step N:**) instead of proper markdown headings (###). This violates markdown best practices (MD036) and makes the document structure less navigable. Convert these to proper headings for consistency with the document's overall structure.

-**Step 1: Normalize agent name**
-```
+### Step 1: Normalize agent name
+```bash
 Input: "code-reviewer"

Apply the same pattern to Steps 2, 3, and 4 (lines 139, 151, 156).


129-129: Add language specifiers to fenced code blocks.

Lines 129 and 162 contain fenced code blocks without language identifiers. Line 129 shows bash/text input-output; line 162 shows a markdown example scenario. Adding language specifiers improves rendering and consistency.

 **Step 1: Normalize agent name**
-```
+```bash
 Input: "code-reviewer"

For line 162 (the example walkthrough), use markdown:

 ## Example: Code Review
-```
+```markdown
 [Just completed authentication feature]

Also applies to: 162-162

📜 Review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 19e2997 and 3fa2af6.

📒 Files selected for processing (3)
  • MULTI_AGENT_UPDATES.md (1 hunks)
  • skills/invoking-similar-agents/SKILL.md (1 hunks)
  • skills/requesting-code-review/SKILL.md (5 hunks)
🧰 Additional context used
🪛 markdownlint-cli2 (0.18.1)
skills/requesting-code-review/SKILL.md

64-64: Fenced code blocks should have a language specified

(MD040, fenced-code-language)

skills/invoking-similar-agents/SKILL.md

128-128: Emphasis used instead of a heading

(MD036, no-emphasis-as-heading)


129-129: Fenced code blocks should have a language specified

(MD040, fenced-code-language)


139-139: Emphasis used instead of a heading

(MD036, no-emphasis-as-heading)


151-151: Emphasis used instead of a heading

(MD036, no-emphasis-as-heading)


156-156: Emphasis used instead of a heading

(MD036, no-emphasis-as-heading)


162-162: Fenced code blocks should have a language specified

(MD040, fenced-code-language)

🔇 Additional comments (6)
skills/requesting-code-review/SKILL.md (1)

32-61: Agent discovery and synthesis sections clearly explain the multi-agent workflow.

The integration with invoking-similar-agents skill is well-documented, with concrete examples of agent discovery checks, context preparation, and consensus/unique findings synthesis. This provides clear guidance on both single- and multi-agent scenarios.

skills/invoking-similar-agents/SKILL.md (1)

1-125: Well-structured introduction to multi-agent invocation pattern.

The skill documentation clearly explains the when/how/why of multi-agent discovery and dispatch. The synthesis format template (lines 90–124) provides a practical structure for presenting results, and the algorithm section gives implementers a concrete approach to discovering agents across sources (custom, built-in, superpowers). Integration guidance (lines 207–221) appropriately identifies related skills.

MULTI_AGENT_UPDATES.md (4)

27-34: Verify agent discovery algorithm aligns across documentation.

The algorithm steps here (normalize, search, filter, deduplicate) match those in invoking-similar-agents/SKILL.md lines 128–159. ✓ Consensus threshold (2+ agents) matches lines 22 and 70. ✓ Agent sources (custom, superpowers, built-in) and registry locations match lines 128–138. ✓


60-96: Before/after example clearly demonstrates feature value.

The usage example contrasts manual single-agent workflow (lines 62–69) with automatic multi-agent discovery and synthesis (lines 71–96), making the feature's benefits immediately clear. The example shows realistic consensus (both agents finding unencrypted credentials) alongside unique findings (rate limiting, CLI help), effectively illustrating how synthesis prioritizes findings.


140-160: Discovery flow diagram and architecture section are well-structured.

The flow diagram (lines 142–160) provides a clear mental model of the process: discovery → parallel dispatch → collection → synthesis. The agent sources priority order (lines 126–138) logically prioritizes custom agents (project-specific) → superpowers (plugin-provided) → built-in (system), which aligns with the matching algorithm described in invoking-similar-agents/SKILL.md.


269-297: Migration guide and rollback plan effectively reduce adoption friction.

The "No breaking changes!" statement (line 273) is clearly true: single-agent workflows continue unchanged, multi-agent discovery is automatic when multiple agents exist. The migration steps (1–3) are simple and follow naming conventions defined in the Configuration section. The rollback plan (lines 299–310) provides practical commands for reverting if needed. This approach maximizes confidence in adopting the change.

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@coderabbitai generate docstrings

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coderabbitai bot commented Oct 25, 2025

✅ Actions performed

Initiated docstring generation; will generate only if new commits exist.

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coderabbitai bot commented Oct 25, 2025

Caution

Docstrings generation - FAILED

No docstrings were generated.

The Agent Registry (AGENT_REGISTRY.md) is now clearly documented as:
- Optional - not required for agent discovery
- Serves as documentation and reference
- Used as an optional cache for faster lookups

Agent discovery primarily works via direct filesystem search of:
- Custom agents in ~/.claude/agents/
- Superpowers templates in skills directories
- Built-in agents from system prompt

Changes:
- Updated invoking-similar-agents/SKILL.md
- Updated requesting-code-review/SKILL.md
- Updated MULTI_AGENT_UPDATES.md
- Clarified discovery algorithm and flow diagrams

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>
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Actionable comments posted: 3

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (1)
skills/requesting-code-review/SKILL.md (1)

26-31: Add language specifier to code block.

Code block is missing language specification:

-```bash
+```bash
 BASE_SHA=$(git rev-parse HEAD~1)  # or origin/main
📜 Review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 3fa2af6 and 0fef110.

📒 Files selected for processing (3)
  • MULTI_AGENT_UPDATES.md (1 hunks)
  • skills/invoking-similar-agents/SKILL.md (1 hunks)
  • skills/requesting-code-review/SKILL.md (5 hunks)
🧰 Additional context used
🪛 markdownlint-cli2 (0.18.1)
skills/requesting-code-review/SKILL.md

67-67: Fenced code blocks should have a language specified

(MD040, fenced-code-language)

MULTI_AGENT_UPDATES.md

67-67: Fenced code blocks should have a language specified

(MD040, fenced-code-language)


76-76: Fenced code blocks should have a language specified

(MD040, fenced-code-language)


145-145: Fenced code blocks should have a language specified

(MD040, fenced-code-language)


323-323: Fenced code blocks should have a language specified

(MD040, fenced-code-language)

🔇 Additional comments (2)
skills/requesting-code-review/SKILL.md (2)

174-177: Helpful guidance on single vs multiple reviewer decision.

This guidance clearly articulates the trade-off between speed and coverage. The decision framework is practical and actionable for users.


1-10: Well-structured documentation set for multi-agent invocation feature.

The three files form a cohesive documentation set with clear hierarchy:

  • MULTI_AGENT_UPDATES.md provides overview, architecture, and migration guidance
  • invoking-similar-agents/SKILL.md details the new generic skill
  • requesting-code-review/SKILL.md shows concrete integration

The documentation maintains consistency across files, clearly explains the discovery/dispatch/synthesis flow, provides practical examples, and includes appropriate safety measures (migration guide, rollback plan).

Comment on lines +67 to +72
```
You: Let me request code review.
[Dispatch code-reviewer]
[Review single agent's findings]
[Fix issues]
```
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⚠️ Potential issue | 🟡 Minor

Add language specifiers to fenced code blocks per markdown standards.

Missing language specifications in code blocks. Update all fenced code blocks to include a language identifier for consistency and proper syntax highlighting.

Apply these diffs:

-```
+```bash
 You: Let me request code review.
 [Dispatch code-reviewer]
-```
+```text
 You: Let me request code review using invoking-similar-agents.
-```
+```
 User requests code review
     ↓
 Use invoking-similar-agents skill
-```
+```bash
 # Remove new skill
 rm -rf ~/.claude/plugins/cache/superpowers/skills/invoking-similar-agents

Also applies to: 76-99, 145-167, 323-331

🧰 Tools
🪛 markdownlint-cli2 (0.18.1)

67-67: Fenced code blocks should have a language specified

(MD040, fenced-code-language)

Comment on lines +62 to +72
**Example for code review:**
```bash
# Get context
BASE_SHA=$(git rev-parse HEAD~1)
HEAD_SHA=$(git rev-parse HEAD)

# Dispatch all code-reviewer agents in parallel
Task 1: code-reviewer (custom agent)
Task 2: superpowers template-based reviewer
Task 3: security-focused-reviewer (if exists)
```
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⚠️ Potential issue | 🟡 Minor

Add language specifiers to fenced code blocks.

Code blocks lack language identifiers. Update all blocks to specify bash or appropriate language:

-```bash
+```bash
 # Get context
 BASE_SHA=$(git rev-parse HEAD~1)
-```
+```text
 Input: "code-reviewer"
 Variations to check:
-```bash
+```bash
 # Primary: Direct filesystem search (always works)
 find ~/.claude/agents -name "*code*review*.md"

Also applies to: 138-146, 149-163

🤖 Prompt for AI Agents
In skills/invoking-similar-agents/SKILL.md around lines 62 to 72 (and also apply
same change to blocks at 138-146 and 149-163), the fenced code blocks are
missing language identifiers; update each fenced block to include the
appropriate language specifier (e.g., ```bash for shell snippets, ```text for
plain input/outputs or non-executable text) so syntax highlighting and tooling
can correctly recognize them; ensure every opening ``` is followed by the
correct language token and no other content is added or removed from the code
samples.

The Agent Registry (AGENT_REGISTRY.md) has been completely removed.
Agent discovery now works entirely via direct filesystem search:

Discovery sources:
- Custom agents: ~/.claude/agents/**/*.md (filesystem search)
- Superpowers templates: skills directories (filesystem search)
- Built-in agents: Known from Claude Code system prompt

Benefits:
- Simpler - no registry to maintain
- More reliable - direct search always works
- No sync script needed
- No stale registry data

Changes:
- Removed all Agent Registry references from invoking-similar-agents
- Removed all Agent Registry references from requesting-code-review
- Updated MULTI_AGENT_UPDATES.md discovery algorithm
- Simplified discovery flow diagrams
- Updated test scripts

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>
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Actionable comments posted: 1

♻️ Duplicate comments (3)
MULTI_AGENT_UPDATES.md (1)

64-69: Add language specifiers to all fenced code blocks (flagged in past review).

Four code block sections are missing language identifiers per markdown standards. This was previously flagged but appears to persist.

Apply these diffs:

 ### Before (Manual, Single Agent)
 
-```
+```text
 You: Let me request code review.
 [Dispatch code-reviewer]
 ### After (Automatic, Multiple Agents)
 
-```
+```text
 You: Let me request code review using invoking-similar-agents.
 ### Discovery Flow
 
-```
+```text
 User requests code review
     ↓
 Use invoking-similar-agents skill
 ## Files Modified
 
-```
+```text
 ~/.claude/plugins/cache/superpowers/

Also applies to: 73-96, 142-162, 313-321

skills/invoking-similar-agents/SKILL.md (1)

132-140: Add language specifiers to fenced code blocks.

Two code blocks lack language identifiers. Lines 132 (input variations) and 165 (example workflow) should specify ```text for clarity.

Apply this diff:

 ### Step 1: Normalize agent name
-```
+```text
 Input: "code-reviewer"
 Variations to check:

 ## Example: Code Review
 
-```
+```text
 [Just completed authentication feature]

Also applies to: 165-208

skills/requesting-code-review/SKILL.md (1)

97-134: Add language specifier to code block.

The "Multiple Reviewers" example code block (line 97) should specify ```text for consistency with markdown standards.

Apply this diff:

 ## Example: Multiple Reviewers
 
-```
+```text
 [Just completed Task 3: Implement authentication]
🧹 Nitpick comments (1)
skills/invoking-similar-agents/SKILL.md (1)

137-137: Remove duplicate agent name variation "coderereviewer".

Line 137 appears to be a typo or unintended duplicate of the "code_reviewer" entry on line 136. Past review flagged this as well.

Apply this diff:

 Variations to check:
 - code-reviewer
 - code_reviewer
-- coderereviewer
 - superpowers:code-reviewer
📜 Review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 0fef110 and 56abd21.

📒 Files selected for processing (3)
  • MULTI_AGENT_UPDATES.md (1 hunks)
  • skills/invoking-similar-agents/SKILL.md (1 hunks)
  • skills/requesting-code-review/SKILL.md (5 hunks)
🧰 Additional context used
🪛 markdownlint-cli2 (0.18.1)
MULTI_AGENT_UPDATES.md

64-64: Fenced code blocks should have a language specified

(MD040, fenced-code-language)


73-73: Fenced code blocks should have a language specified

(MD040, fenced-code-language)


142-142: Fenced code blocks should have a language specified

(MD040, fenced-code-language)


313-313: Fenced code blocks should have a language specified

(MD040, fenced-code-language)

skills/requesting-code-review/SKILL.md

97-97: Fenced code blocks should have a language specified

(MD040, fenced-code-language)

skills/invoking-similar-agents/SKILL.md

131-131: Emphasis used instead of a heading

(MD036, no-emphasis-as-heading)


132-132: Fenced code blocks should have a language specified

(MD040, fenced-code-language)


142-142: Emphasis used instead of a heading

(MD036, no-emphasis-as-heading)


154-154: Emphasis used instead of a heading

(MD036, no-emphasis-as-heading)


159-159: Emphasis used instead of a heading

(MD036, no-emphasis-as-heading)


165-165: Fenced code blocks should have a language specified

(MD040, fenced-code-language)

Convert bolded step headings to proper markdown headings:
- **Step 1:** → ### Step 1:
- **Step 2:** → ### Step 2:
- **Step 3:** → ### Step 3:
- **Step 4:** → ### Step 4:

This improves:
- Document outline structure
- Markdown rendering
- Table of contents generation
- Accessibility

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>
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Actionable comments posted: 2

♻️ Duplicate comments (1)
skills/invoking-similar-agents/SKILL.md (1)

138-138: Fix apparent typo in agent name variation.

Line 138 shows coderereviewer which appears to be a typo (double "re"). The list already includes code-reviewer and code_reviewer, so this entry should likely be removed:

 - code-reviewer
 - code_reviewer
-- coderereviewer
 - superpowers:code-reviewer
📜 Review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 56abd21 and c9fc55c.

📒 Files selected for processing (1)
  • skills/invoking-similar-agents/SKILL.md (1 hunks)
🧰 Additional context used
🪛 markdownlint-cli2 (0.18.1)
skills/invoking-similar-agents/SKILL.md

133-133: Fenced code blocks should have a language specified

(MD040, fenced-code-language)


169-169: Fenced code blocks should have a language specified

(MD040, fenced-code-language)

🔇 Additional comments (1)
skills/invoking-similar-agents/SKILL.md (1)

1-273: Documentation is clear and well-structured overall.

The skill documentation effectively explains agent discovery, parallel dispatch, result synthesis, and provides concrete examples. The integration points with existing skills and use-case guidance are helpful for users deciding when to leverage this pattern.

Updated all code blocks to include proper language specifiers:
- ```bash for shell commands
- ```text for plain text examples and non-executable content
- ```markdown for markdown template examples

Benefits:
- Proper syntax highlighting
- Better tooling support
- Improved accessibility
- Correct rendering in documentation viewers

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <[email protected]>
@obra
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obra commented Oct 25, 2025

Hi! Could you please provide a human-written explanation of what you're trying to do with this PR, how you tested it, and how it makes Superpowers better?

@gcallaghan
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Hi @obra , Thanks so much for this plugin!

The main functionality I'm trying to acheive is that I already had some agents that where similar to yours, code-review specifically. I wanted to both have my agent inspect code and benefit from your agent and any ongoing improvements. Additionally, I wanted to make superpowers aware of any other agents I had when determining how to delegate tasks. For instance I have a front-end agent and test-automator agent with my companies best practices.

@gcallaghan
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I tested the new skill using the test skill skill, however the output said that because it was just a reference it didn't need to be pressed your tested. I am currently using this in my own development environment on a front-end library and MCP server.

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