chatcrystal-task-writeback
Write reusable ChatCrystal task memories after substantive work completes.
Skill by ZengLiangYi
Chalk Labs
Need help deploying chatcrystal-task-writeback?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/zengliangyi-chatcrystal-task-writeback
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: writing, productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/chatcrystal-task-writeback
What's inside
- Skill name
chatcrystal-task-writeback- Description
- Write reusable ChatCrystal task memories after substantive work completes. Use when implementation or debugging produced a durable fix, pitfall, pattern, or decision worth preserving, and when the environment can either persist it through `write_task_memory` or emit a structured memory candidate for later save.
- License
- Apache-2.0
- Instructions
- 109 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# ChatCrystal Task Writeback
Use this skill after meaningful work completes. Let ChatCrystal Core decide whether a memory should be skipped, merged, or created.
## Workflow
1. Trigger only after substantive work completes and the result produced reusable knowledge.
2. Good candidates include:
- a durable fix
- a meaningful pitfall
- a reusable pattern
- an explicit engineering decision
## Quality Gate Preflight
Before calling `write_task_memory`, verify the candidate is an experience asset, not a work log.
Do not call `write_task_memory` when:
- The summary only says what changed, without why it mattered.
- There is no clear problem, decision, pitfall, resolution, or reusable pattern.
- The task produced no durable lesson for future work.
Required field shape by `memory.outcome_type`:
- `fix`: include `root_cause` or `resolution`.
- `pitfall`: include `pitfalls` plus `resolution` or `reusable_patterns`.
- `decision`: include `decisions`.
- `pattern`: include `reusable_patterns`.
Write `memory.summary` as a durable experience conclusion, not as "I did X".
Automatic writeback must include `source_run_key`; without it, emit a structured candidate for later save instead of silently writing manual memory.
3. If `write_task_memory` is available and the runtime has a stable run or session key, call it with:
- `mode: "auto"`
- `source_run_key`: the stable run or session key
- `task.goal`, `task.task_kind`, `task.project_dir`, `task.cwd`, `task.branch`
- `task.source_agent` when known
- `memory.summary`: concise and durable, not chatty
- `memory.outcome_type`: one of `pitfall`, `fix`, `pattern`, `decision`
- `memory.root_cause`, `memory.resolution`, `memory.error_signatures`, `memory.files_touched`, `memory.tags` when relevant
4. Use `mode: "manual"` only for an explicit manual save flow, never as a silent fallback for automatic writeback.
5. Default to project-scoped knowledge. Only use global scope for clearly cross-project knowledge and only in an explicit manual save flow.
6. Report the persistence result accurately:
- `created`
- `merged`
- `skipped`
## Example MCP Input
Use this shape when calling `write_task_memory` after a completed task with a stable run key:
```json
{
"mode": "auto",
"source_run_key": "agent-session-or-run-id",
"scope": "project",
"task": {
"goal": "Fix MCP recall schema validation",
"task_kind": "debug",
"project_dir": "/path/to/project",
"cwd": "/path/to/project",
"branch": "fix/mcp-recall-schema",
"files_touched": [
"server/src/services/memory/schemas.ts",
"server/src/cli/mcp/server.ts"
],
"error_signatures": [
"invalid_type",
"recall_for_task schema mismatch"
],
"source_agent": "codex"
},
"memory": {
"summary": "MCP tool schemas must stay aligned with memory service request shapes; mismatches surface as validation failures before tool execution.",
"outcome_type": "fix",
"root_cause": "The MCP tool input shape diverged from the service schema.",
"resolution": "Reused the shared request shape in the MCP server registration.",
"files_touched": [
"server/src/services/memory/schemas.ts",
"server/src/cli/mcp/server.ts"
],
"tags": [
"mcp",
"memory-loop",
"schema"
]
}
}
```
## Full Mode
Full mode requires ChatCrystal Core plus MCP access to `write_task_memory`.
- Do not reimplement skip or merge logic in the skill.
- Trust Core to decide whether the memory should be skipped, merged, or created.
- If the tool reports `skipped`, keep the task result but do not force persistence.
## Degraded Mode
If ChatCrystal Core or the MCP tool is unavailable, or if no stable run key exists for automatic writeback:
- Do not claim that the memory was saved.
- Emit a structured memory candidate in the response for later save.
- Keep the candidate aligned with the `write_task_memory.memory` payload shape so it can be reused later.
- Do not instruct the runtime to auto-install ChatCrystal Core as part of the skill flow.From ZengLiangYi/ChatCrystal, Apache-2.0.
More from ZengLiangYi/ChatCrystal
- 0.670score
ChatCrystal
ZengLiangYi
Local-first AI PKM memory for coding conversations.
ConnectorAFreshness: ALocal★ 61Claude Code +5 - 0.626score
chatcrystal-debug-recall
ZengLiangYi
Recall ChatCrystal memories for debugging tasks involving failing tests, compiler errors, runtime exceptions, dependency issues, environment breakage, or…
SkillBFreshness: B★ 61Claude Code +9 - 0.626score
chatcrystal-task-recall
ZengLiangYi
Recall project-first and global-supplement ChatCrystal memories before substantive implementation, refactoring, migration, configuration, investigation, or…
SkillBFreshness: B★ 61Claude Code +9
Signals
- Stars
- 61
- Forks
- 5
- Open issues
- 0
- Contributors
- 2
- Last commit (this folder)
- Apr 29, 2026 (6 months ago)
- Last release
- Sep 20, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/ZengLiangYi/ChatCrystal
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from ZengLiangYi
- 0.670score
ChatCrystal
ZengLiangYi
Local-first AI PKM memory for coding conversations.
ConnectorAFreshness: ALocal★ 61Claude Code +5 - 0.626score
chatcrystal-debug-recall
ZengLiangYi
Recall ChatCrystal memories for debugging tasks involving failing tests, compiler errors, runtime exceptions, dependency issues, environment breakage, or…
SkillBFreshness: B★ 61Claude Code +9 - 0.626score
chatcrystal-task-recall
ZengLiangYi
Recall project-first and global-supplement ChatCrystal memories before substantive implementation, refactoring, migration, configuration, investigation, or…
SkillBFreshness: B★ 61Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get chatcrystal-task-writeback running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
chatcrystal-task-writeback skill. Agent Mart. https://agentmart.dev/skills/zengliangyi-chatcrystal-task-writeback (last updated 2026-10-24)