daem0nmcp-protocol
Use when Daem0nMCP tools are available - enforces the sacred covenant (commune at session start, seek counsel before changes, inscribe decisions, seal outcomes)
Best use case
daem0nmcp-protocol is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Use when Daem0nMCP tools are available - enforces the sacred covenant (commune at session start, seek counsel before changes, inscribe decisions, seal outcomes)
Use when Daem0nMCP tools are available - enforces the sacred covenant (commune at session start, seek counsel before changes, inscribe decisions, seal outcomes)
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "daem0nmcp-protocol" skill to help with this workflow task. Context: Use when Daem0nMCP tools are available - enforces the sacred covenant (commune at session start, seek counsel before changes, inscribe decisions, seal outcomes)
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/daem0nmcp-protocol/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How daem0nmcp-protocol Compares
| Feature / Agent | daem0nmcp-protocol | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use when Daem0nMCP tools are available - enforces the sacred covenant (commune at session start, seek counsel before changes, inscribe decisions, seal outcomes)
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# The Daem0n's Protocol
## Overview
When Daem0nMCP memory tools are available, you MUST follow this protocol. Memory without discipline is noise.
**Core principle:** Check before you change, record what you decide, track whether it worked.
## Tool Detection
First, verify Daem0nMCP tools are available:
```
Look for these tools in your available tools:
- mcp__daem0nmcp__get_briefing
- mcp__daem0nmcp__context_check
- mcp__daem0nmcp__remember
- mcp__daem0nmcp__record_outcome
- mcp__daem0nmcp__link_memories
- mcp__daem0nmcp__trace_chain
- mcp__daem0nmcp__get_graph
- mcp__daem0nmcp__find_code
- mcp__daem0nmcp__analyze_impact
- mcp__daem0nmcp__index_project
```
**If tools are NOT available:** This skill does not apply. Proceed normally.
**If tools ARE available:** Follow the protocol below. No exceptions.
## The Protocol
### 1. SESSION START (Non-Negotiable)
```
IMMEDIATELY when you have daem0nmcp tools:
mcp__daem0nmcp__get_briefing()
DO NOT:
- Ask user what they want first
- Skip briefing because "it's a quick task"
- Assume you remember from last session
```
The briefing loads:
- Past decisions and their outcomes
- Warnings and failed approaches to AVOID
- Patterns to FOLLOW
- Git changes since last session
### 2. BEFORE ANY CODE CHANGES
```
BEFORE touching any file:
mcp__daem0nmcp__context_check(description="what you're about to do")
OR for specific files:
mcp__daem0nmcp__recall_for_file(file_path="path/to/file")
```
**If context_check returns:**
- **WARNING:** You MUST acknowledge it to the user
- **FAILED APPROACH:** Explain how your approach differs
- **must_not:** These are HARD CONSTRAINTS - do not violate
### 3. AFTER MAKING DECISIONS
```
AFTER every significant decision:
memory_result = mcp__daem0nmcp__remember(
category="decision", # or "pattern", "warning", "learning"
content="What you decided",
rationale="Why you decided it",
file_path="relevant/file.py", # optional
tags=["relevant", "tags"]
)
SAVE THE MEMORY ID - you need it for record_outcome
```
**Category Guide:**
| Category | Use For | Persistence |
|----------|---------|-------------|
| decision | Architectural/design choices | Decays over 30 days |
| pattern | Recurring approaches to follow | PERMANENT |
| warning | Things to avoid | PERMANENT |
| learning | Lessons from experience | Decays over 30 days |
### 4. AFTER IMPLEMENTATION (Critical)
```
AFTER implementing and testing:
mcp__daem0nmcp__record_outcome(
memory_id=<id from remember>,
outcome="What actually happened",
worked=true # or false
)
```
**FAILURES ARE VALUABLE.** If something doesn't work:
- Record `worked=false` with explanation
- Failed approaches get 1.5x boost in future searches
- You WILL see past mistakes - that's the point
## Red Flags - STOP
- About to edit a file without calling `recall_for_file`
- Making a significant decision without calling `remember`
- Implementation complete but no `record_outcome` called
- Context check returned WARNING but you didn't acknowledge it
- Repeating an approach that previously failed
## Rationalization Prevention
| Excuse | Reality |
|--------|---------|
| "It's a small change" | Small changes compound into big problems |
| "I'll remember later" | You won't. Record now. |
| "Context check is overkill" | 5 seconds now vs hours debugging later |
| "The warning doesn't apply" | Warnings exist because someone failed before |
| "I don't need to record failures" | Failures are the most valuable memories |
## Enforcement (2026 Update)
The Sacred Covenant is now ENFORCED, not advisory:
### What Happens If You Skip Steps
1. **Skip get_briefing()**: ALL tools return `COMMUNION_REQUIRED` block
2. **Skip context_check()**: Mutating tools return `COUNSEL_REQUIRED` block
3. **Each block includes a `remedy`**: The exact tool call to fix it
### Enforcement Decorators
Tools are classified:
- **@requires_counsel**: remember, remember_batch, add_rule, update_rule, prune_memories, cleanup_memories, compact_memories, export_data, import_data, ingest_doc
- **@requires_communion**: All other tools except get_briefing and health
- **Exempt**: get_briefing, health
### Preflight Token
After `context_check()`, you receive a `preflight_token` in the response.
This is cryptographic proof you consulted the Daem0n.
Token is valid for 5 minutes.
### Parallel Preflight
Before file edits, use the parallel-preflight skill to run:
- context_check + recall_for_file + analyze_impact
IN PARALLEL for maximum efficiency.
## Workflow Summary
```
SESSION START
└─> get_briefing()
BEFORE CHANGES
└─> context_check("what you're doing")
└─> recall_for_file("path") for specific files
└─> ACKNOWLEDGE any warnings
AFTER DECISIONS
└─> remember(category, content, rationale)
└─> SAVE the memory_id
└─> link_memories() if causally related to other decisions
AFTER IMPLEMENTATION
└─> record_outcome(memory_id, outcome, worked)
INVESTIGATING CONTEXT
└─> trace_chain() to understand decision history
└─> get_graph() to visualize relationships
```
## Why This Matters
Without protocol discipline:
- You repeat past mistakes
- Decisions get lost between sessions
- Patterns aren't captured
- Failures aren't learned from
- The memory system becomes useless noise
With protocol discipline:
- Past mistakes surface before you repeat them
- Decisions persist across sessions
- Patterns compound into project knowledge
- Failures become learning opportunities
- The AI actually gets smarter over time
## Graph Memory Tools
Memories can be explicitly linked to create a knowledge graph. Use these when decisions are causally related.
### Relationship Types
| Type | Meaning | Example |
|------|---------|---------|
| `led_to` | A caused/resulted in B | "PostgreSQL choice led to connection pooling pattern" |
| `supersedes` | A replaces B (B is outdated) | "New auth flow supersedes old JWT approach" |
| `depends_on` | A requires B to be valid | "Caching strategy depends on database choice" |
| `conflicts_with` | A contradicts B | "Sync processing conflicts with async pattern" |
| `related_to` | General association | "Both relate to authentication" |
### Link Memories
```
mcp__daem0nmcp__link_memories(
source_id=<memory_id>,
target_id=<other_memory_id>,
relationship="led_to",
description="Optional context for the link"
)
```
**When to link:**
- A decision directly caused another decision
- A pattern emerged from a specific choice
- An approach supersedes a previous one
### Trace Causal Chains
```
mcp__daem0nmcp__trace_chain(
memory_id=<id>,
direction="backward", # "forward", "backward", or "both"
max_depth=5
)
```
**Use cases:**
- "What decisions led to this pattern?" → trace backward
- "What emerged from this architectural choice?" → trace forward
- "Show me the full context around this decision" → trace both
### Visualize the Graph
```
mcp__daem0nmcp__get_graph(
memory_ids=[1, 2, 3], # OR
topic="authentication",
format="mermaid" # or "json"
)
```
Returns a mermaid diagram or JSON structure showing nodes and edges.
### Remove Links
```
mcp__daem0nmcp__unlink_memories(
source_id=<id>,
target_id=<id>,
relationship="led_to"
)
```
## OpenSpec Integration
If the project uses OpenSpec (spec-driven development), the `openspec-daem0n-bridge` skill provides bidirectional integration:
**Auto-detection:** After `get_briefing()`, if `openspec/` directory exists, specs are automatically imported as patterns and rules.
**Before creating proposals:** Use "prepare proposal for [feature]" to query past decisions and failures.
**After archiving changes:** Use "record outcome for [change-id]" to convert completed work to learnings.
See the `openspec-daem0n-bridge` skill for full workflow details.
## Enhanced Search & Indexing (v2.15.0)
### Automatic Tag Inference
Memories now auto-detect tags from content:
- **bugfix**: fix, bug, error, issue, broken, crash
- **tech-debt**: todo, hack, workaround, temporary
- **perf**: cache, performance, slow, fast, optimize
- **warning**: Added automatically for warning category
You don't need to manually tag common patterns.
### Condensed Mode for Large Projects
For projects with many memories, use condensed recall:
```
mcp__daem0nmcp__recall(topic="authentication", condensed=True)
```
Returns compressed output (~75% token reduction):
- Content truncated to 150 chars
- Rationale/context stripped
- Ideal for broad surveys before deep dives
### Code Intelligence Tools
**Index your codebase:**
```
mcp__daem0nmcp__index_project() # Index all code entities
```
**Search code semantically:**
```
mcp__daem0nmcp__find_code(query="user authentication")
```
**Analyze change impact:**
```
mcp__daem0nmcp__analyze_impact(entity_name="UserService.authenticate")
```
### Incremental Indexing
Only re-indexes changed files:
- Uses SHA256 content hashes
- Automatically skips unchanged files
- Entities have stable IDs (survive line changes)
### Enhanced Health Monitoring
```
mcp__daem0nmcp__health()
```
Now returns:
- `code_entities_count`: Total indexed entities
- `entities_by_type`: Breakdown by class/function
- `last_indexed_at`: When index was last updated
- `index_stale`: True if >24 hours since last index
## The Bottom Line
**Memory tools exist. Use them correctly.**
Check context. Record decisions. Track outcomes. Link related memories.
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