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Get Started Free →Keep the Memtrace index fresh while editing by watching a repo for live, incremental re-indexing. Use when the user asks to keep Memtrace fresh while editing, watch a repo, enable live or incremental indexing, set up always-on memory (meaning Memtrace index watching, not generic agent memory), or make just-saved source code queryable immediately. Do not fall back to repeated Grep or manual rescans; configure Memtrace watching.
.claude/skills/syncable-dev-memtrace-continuous-memory/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -16% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -30% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -18% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -44% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -48% | 0% |
Keep the knowledge graph live while editing. watch_directory triggers incremental re-indexing on file saves (~80 ms typical latency after debounce).
watch_directory| Param | Required | Notes | |---|---|---| | path | yes | Absolute directory path | | repo_id | yes | Must already be indexed | | branch | no | default "main" |
json{ "path": "/abs/path/to/repo", "repo_id": "memdb" }
Full parameter spec for every Memtrace tool: references/mcp-parameters.md (bundled at the memtrace-skills plugin root).
list_indexed_repositories()Run index_directory first if missing (poll check_job_status; stop after ~5 minutes and report the job id — see memtrace-index).
See JSON above. Returns immediately; watcher runs in background.
list_watched_paths()Response shape: see Output.
Next find_symbol / get_symbol_context call sees saved changes after debounce (~500 ms) + incremental persist (~80 ms).
unwatch_directory:
json{ "path": "/abs/path/to/repo" }
Idempotent — unwatching an already-unwatched path is a no-op.
| Stage | Typical | |---|---| | Debounce | 500 ms (MCP schema) | | Incremental persist | ~80 ms | | Save → queryable | ~80–150 ms after debounce |
watch_directory returns an immediate acknowledgment; the watcher runs in the background. list_watched_paths returns:
json{ "watches": [ { "path": "...", "repo_id": "...", "branch": "...", "started_at": "...", "origin": "..." } ], "count": 1 }
There is no persist_ms field in this response.
| Mistake | Reality | |---------|---------| | watch_directory(path=...) without repo_id | Both required | | Watching unindexed repo | Index first | | Expecting persist_ms from list_watched_paths | Field not in MCP response | | Debounce "50 ms" | Schema documents 500 ms |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 10,465 | 6,725 | -36% | 1 | 1 | 0% | 1,417 | 1,112 | -22% | 0 | 0 | — |
case-02 | fail→fail | 7,299 | 4,490 | -38% | 1 | 1 | 0% | 1,158 | 963 | -17% | 0 | 0 | — |
case-03 | fail→fail | 7,389 | 3,300 | -55% | 1 | 1 | 0% | 324 | 855 | +164% | 0 | 0 | — |
case-04 | fail→pass | 7,240 | 2,742 | -62% | 1 | 1 | 0% | 1,294 | 1,089 | -16% | 0 | 0 | — |
case-05 | pass→pass | 4,953 | 2,757 | -44% | 1 | 1 | 0% | 859 | 1,074 | +25% | 0 | 0 | — |
case-06 | fail→pass | 6,435 | 1,590 | -75% | 1 | 1 | 0% | 1,110 | 777 | -30% | 0 | 0 | — |
case-07 | pass→pass | 8,734 | 2,187 | -75% | 1 | 1 | 0% | 1,441 | 932 | -35% | 0 | 0 | — |
case-08 | fail→pass | 22,222 | 2,754 | -88% | 1 | 1 | 0% | 1,135 | 934 | -18% | 0 | 0 | — |
case-09 | fail→pass | 11,434 | 2,182 | -81% | 1 | 1 | 0% | 1,673 | 938 | -44% | 0 | 0 | — |
case-10 | fail→pass | 12,308 | 2,130 | -83% | 1 | 1 | 0% | 1,767 | 917 | -48% | 0 | 0 | — |
case-11 | fail→pass | 6,653 | 2,656 | -60% | 1 | 1 | 0% | 930 | 824 | -11% | 0 | 0 | — |
case-12 | pass→pass | 10,881 | 1,689 | -84% | 1 | 1 | 0% | 1,614 | 837 | -48% | 0 | 0 | — |
case-13 | fail→pass | 8,602 | 1,557 | -82% | 1 | 1 | 0% | 1,332 | 824 | -38% | 0 | 0 | — |
case-14 | fail→pass | 11,275 | 2,524 | -78% | 1 | 1 | 0% | 1,843 | 940 | -49% | 0 | 0 | — |
case-15 | fail→pass | 5,679 | 2,177 | -62% | 1 | 1 | 0% | 852 | 911 | +7% | 0 | 0 | — |
case-16 | fail→pass | 6,245 | 1,661 | -73% | 1 | 1 | 0% | 956 | 798 | -17% | 0 | 0 | — |
case-17 | fail→pass | 11,718 | 2,763 | -76% | 1 | 1 | 0% | 1,883 | 969 | -49% | 0 | 0 | — |
case-18 | fail→pass | 11,247 | 2,667 | -76% | 1 | 1 | 0% | 1,559 | 954 | -39% | 0 | 0 | — |
case-19 | fail→pass | 19,866 | 2,320 | -88% | 1 | 1 | 0% | 3,232 | 911 | -72% | 0 | 0 | — |
case-20 | pass→pass | 6,592 | 1,697 | -74% | 1 | 1 | 0% | 980 | 838 | -14% | 0 | 0 | — |
case-21 | pass→pass | 9,495 | 3,268 | -66% | 1 | 1 | 0% | 1,456 | 998 | -31% | 0 | 0 | — |
case-22 | fail→pass | 12,762 | 2,756 | -78% | 1 | 1 | 0% | 1,783 | 946 | -47% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 19 counted toward the lift figure. The other 3 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +64 percentage points is the difference between those two pass rates over the 19 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.