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Agent Orchestration
Skill

/accint-solve

Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.

From plugin
sickn33-agentic-awesome-skills-2
46k200 skills
Install
$ npx -y skills add sickn33/agentic-awesome-skills --skill accint-solve --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/accint-solve

Context preview

The summary Claude sees to decide when to auto-load this skill.

Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.

SKILL.md

accint-solve.SKILL.md
name: accint-solve
description: Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.
risk: critical
source: https://github.com/maxbaluev/accreted-intelligence/tree/main/plugins/claude/skills/solve
source_repo: maxbaluev/accreted-intelligence
source_type: community
date_added: 2026-07-01
license: Apache-2.0
license_source: https://github.com/maxbaluev/accreted-intelligence/blob/main/LICENSE

solve

When to Use

Use this skill when you need route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.

Routing sugar over the two MCP verbs — no logic lives here.

1. Call `acc_act(runtime="solve", input="<the goal>")`. 2. If the result is **final**: surface the answer, the `commitment` id, and the cited `[ids]`. 3. If the result is a **brain_frame**: it is YOUR deliberation turn — the frame is typed (which hole, what was retrieved, what is predicted). Reason over it, then submit via `acc_act(runtime="continue", input={"frame_id": ..., "submit_token": ..., "proposal_text": ...})`. 4. End `proposal_text` with `PREDICT: <0.00-1.00> <why>`; acc strips that line before the owner sees it and uses it to calibrate the Work Model against later outcomes. 5. Never leave a received frame unresolved; never solo-derive outside the loop. 6. Close the commitment honestly later with `acc_act(runtime="outcome", ...)`.

Example

**User request:**

> Use @accint-solve for this task: Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.

Limitations

  • Use this skill only when the task clearly matches its upstream source and local project context.
  • Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
  • Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
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Python
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MIT
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8mo ago
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Repo: sickn33/agentic-awesome-skills