Bridges OpenSpec (spec-driven development) with Daem0n-MCP memory - auto-imports specs, informs proposals with past outcomes, converts archived changes to learnings
This skill creates a bidirectional bridge between:
The feedback loop:
OpenSpec specs ──────► Daem0n patterns/rules
▲ │
│ ▼
Future specs ◄────── Past outcomes/failures
On session start, after get_briefing():
Check if openspec/ directory exists in the project root:
ls openspec/specs/ 2>/dev/null
If OpenSpec detected AND specs not yet imported:
How to check if already imported:
recall(topic="openspec", tags=["spec"], limit=1)
If results exist with recent timestamps, skip import.
Triggers:
List all spec directories
ls openspec/specs/
For each spec, read the spec.md file
cat openspec/specs/[name]/spec.md
Parse requirements using these patterns:
| Pattern | Extract As |
|---|---|
MUST, SHALL, REQUIRED |
rule.must_do |
MUST NOT, SHALL NOT, PROHIBITED |
rule.must_not |
SHOULD, RECOMMENDED |
pattern |
SHOULD NOT, NOT RECOMMENDED |
warning |
## Purpose section |
pattern (overview) |
Create memories via remember_batch
mcp__daem0nmcp__remember_batch(memories=[
{
"category": "pattern",
"content": "[spec-name]: [overview/purpose summary]",
"rationale": "OpenSpec specification - source of truth",
"tags": ["openspec", "spec", "[spec-name]"],
"file_path": "openspec/specs/[spec-name]/spec.md",
"context": {
"openspec_type": "spec",
"imported_at": "[ISO timestamp]"
}
}
// ... one per spec
])
Create rules from MUST/MUST NOT
mcp__daem0nmcp__add_rule(
trigger="implementing [spec-name] feature",
must_do=["[extracted MUST items]"],
must_not=["[extracted MUST NOT items]"],
ask_first=["Does this align with the spec?"]
)
Report summary
Imported [N] specs as patterns
Created [M] rules with [X] must_do and [Y] must_not constraints
Use recall("openspec") to query
| OpenSpec Element | Daem0n Category | Tags |
|---|---|---|
| spec.md overview | pattern | openspec, spec, [name] |
| MUST requirements | rule.must_do | (in rule, not memory) |
| MUST NOT constraints | rule.must_not | (in rule, not memory) |
| Known limitations | warning | openspec, limitation, [name] |
| Design rationale | learning | openspec, rationale, [name] |
Triggers:
Recall relevant memories
mcp__daem0nmcp__recall(
topic="[feature description]",
categories=["pattern", "warning", "decision"]
)
Check applicable rules
mcp__daem0nmcp__check_rules(
action="proposing change for [feature]"
)
Recall OpenSpec-specific context
mcp__daem0nmcp__recall(
topic="openspec [feature]",
tags=["openspec"]
)
If specific files are affected, check them
mcp__daem0nmcp__recall_for_file(
file_path="openspec/specs/[affected-spec]/spec.md"
)
Present findings to user in this format:
# Memory Context for Proposal: [feature]
## Relevant Specs
- [spec-name]: [summary]
## Patterns to Follow
- [pattern 1]
- [pattern 2]
## Warnings to Consider
- [warning 1] (from past failure)
## Past Decisions That May Apply
- [decision] - worked: [true/false]
## Rules to Follow
When implementing this:
- MUST: [list]
- MUST NOT: [list]
- ASK FIRST: [list]
If user proceeds, record the intent
mcp__daem0nmcp__remember(
category="decision",
content="Creating OpenSpec proposal for [feature]: [brief description]",
rationale="[user's stated rationale]",
tags=["openspec", "proposal", "pending"],
context={
"openspec_type": "proposal",
"feature": "[feature]",
"change_id": "[generated-id or TBD]"
}
)
SAVE THE MEMORY ID - needed for Workflow 3.
Triggers:
openspec archive [id] completesRead the archived change
cat openspec/changes/archive/[id]/proposal.md
cat openspec/changes/archive/[id]/tasks.md
ls openspec/changes/archive/[id]/specs/
Find the original decision memory
mcp__daem0nmcp__search_memories(
query="OpenSpec proposal [id]"
)
Or search by feature name if ID wasn't recorded.
Record the outcome
mcp__daem0nmcp__record_outcome(
memory_id=[found decision id],
outcome="Completed and archived. [summary of what was implemented]",
worked=true // or false if there were issues
)
Create learnings from the completed work
mcp__daem0nmcp__remember_batch(memories=[
{
"category": "learning",
"content": "[change-id]: [key lesson from implementation]",
"rationale": "Extracted from completed OpenSpec change",
"tags": ["openspec", "completed", "[feature-name]"],
"context": {
"openspec_type": "archived_change",
"change_id": "[id]",
"archived_at": "[timestamp]"
}
}
// ... one learning per significant insight
])
Link the memories to create causal chain
mcp__daem0nmcp__link_memories(
source_id=[proposal decision id],
target_id=[learning id],
relationship="led_to",
description="Proposal implementation led to these learnings"
)
If spec deltas were applied, update spec memories
For each delta in openspec/changes/archive/[id]/specs/:
| Tag | Meaning | When Used |
|---|---|---|
openspec |
Memory from OpenSpec integration | All OpenSpec memories |
spec |
From spec.md source of truth | Workflow 1 |
proposal |
From change proposal | Workflow 2 |
pending |
Proposal not yet archived | Workflow 2 |
completed |
From archived change | Workflow 3 |
limitation |
Known constraint | Workflow 1 |
rationale |
Design reasoning | Workflow 1 |
This skill respects the Daem0n's Sacred Covenant:
get_briefing() must be called first (auto-detection happens after)remember() records proposal decisionsrecord_outcome() closes the loop when changes are archivedEnforcement:
# [Spec Title]
## Purpose
[Description - extract as pattern overview]
## Requirements
### Requirement: [Name]
[Text containing MUST/MUST NOT/SHOULD]
#### Scenario: [Description]
- **GIVEN** [condition]
- **WHEN** [action]
- **THEN** [result]
MUST requirements: /(?:MUST|SHALL|REQUIRED):\s*(.+)/gi
MUST NOT constraints: /(?:MUST NOT|SHALL NOT|PROHIBITED):\s*(.+)/gi
SHOULD patterns: /(?:SHOULD|RECOMMENDED):\s*(.+)/gi
SHOULD NOT warnings: /(?:SHOULD NOT|NOT RECOMMENDED):\s*(.+)/gi
## ADDED
### Requirement: [New requirement]
## MODIFIED
### Requirement: [Changed requirement]
## REMOVED
- Requirement: [Removed name]
## RENAMED
FROM: ### Requirement: OldName
TO: ### Requirement: NewName
[Session starts]
User: Let's work on the authentication feature
Claude: [Calls get_briefing()]
[Detects openspec/ directory]
OpenSpec detected. Syncing specs to Daem0n memory...
Imported 5 specs as patterns:
- authentication (3 MUST, 2 MUST NOT)
- api-endpoints (5 MUST, 1 MUST NOT)
- error-handling (2 MUST)
- ...
Created 5 rules for spec enforcement.
User: I want to propose adding OAuth support
Claude: [Workflow 2: Inform]
Querying memory before proposal...
# Memory Context for Proposal: OAuth support
## Relevant Specs
- authentication: "All auth must be stateless for scaling"
## Warnings
- Previous session-based auth was rejected (worked=false)
## Rules
MUST: Use JWT tokens, Support token refresh
MUST NOT: Store sessions server-side
Shall I proceed with recording this proposal intent?
User: Yes, proceed
Claude: [Records decision with openspec/proposal/pending tags]
Recorded. Memory ID: 1847
Now create your proposal at openspec/changes/add-oauth-support/
[Later, after implementation]
User: I've archived the OAuth change, record it
Claude: [Workflow 3: Archive]
Reading openspec/changes/archive/add-oauth-support/...
Recording outcome for decision #1847...
- Outcome: Completed successfully with OAuth2 + PKCE
- Worked: true
Created 2 learnings:
- OAuth2 PKCE flow works well for SPAs
- Token refresh needs 5-minute buffer
Linked proposal -> learnings via "led_to"
The Daem0n will remember this for future auth work.
Check that openspec/specs/ directory exists and contains spec directories.
Use "refresh openspec" to force re-import. Old memories will be superseded.
Search with broader terms:
mcp__daem0nmcp__search_memories(query="[feature keywords]", tags=["openspec"])
Check rule triggers match your action descriptions:
mcp__daem0nmcp__list_rules()