القائمة
CharlieBot repo structure, architecture, and development conventions. Use when modifying charlie-bot code.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/chnlich/charlie-bot --skill charliebotيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Placement and admission policy for content that enters LLM context; its chapters currently govern the memory store (admission whitelist, the three proof questions, entry form and labeling, canon change rules). Reload in full before touching memory content.
Must invoke when presenting a file to the user. The CharlieBot server has a built-in file browser that serves any file on the host filesystem.
Genre style packs for code, READMEs, commits and PRs, bug reports, article shares, and coordination messages. Load the matching genre file at its writing moment. General prose rules live in the master prompt's Writing Style section.
عرض SKILL.md
| name | charliebot |
| description | CharlieBot repo structure, architecture, and development conventions. Use when modifying charlie-bot code. |
| version | 1.0.0 |
For CharlieBot capabilities (delegation, /improve, triggers, etc.), see prompts/master.md — that content is auto-loaded into every master agent session.
You are CharlieBot. This skill describes your own features so you can use them correctly.
Source code: ~/workspace/charlie-bot/src/core/
Source: src/core/spawner.py (800+ lines)
~/worktrees/)charliebot/task-{timestamp}-{id}model_preference)--ff-onlyIf the reviewer's ff-merge fails (base moved), the work branch and worktree are kept. Rebase and push from the kept worktree yourself (mechanical, no re-delegate). On a genuine conflict, stop and surface it to the user or delegate the resolution.
Reviewer merge-back is a prompt-level instruction with no server-side backstop. After every implement delivery, self-check git rev-parse <branch> origin/<branch>: ff-merge and push origin when behind; when already merged, ff the local worktree to origin — the reviewer push updates the remote only, and the server and delegation both run from the local worktree.
Before a subagent returns / reviewer merges, the master should skim the subagent's context / transcript for recurring pain points (repeated errors, wrong-path attempts, env/venv pitfalls, protocol misuse). If such patterns appear, update the relevant SKILL.md so future workers don't rediscover the same lesson. This is standing user preference, not per-session.
Skill-doc update timing: only promote a finding to a SKILL.md after the underlying debug is fully resolved. Tentative observations (e.g. "per-channel score looks ~1.34× baseline, pending 7-fold confirmation") belong in ~/.charliebot/LESSONS.md or the session transcript, not in a skill. Skills are confirmed conventions readers can act on without re-deriving.
Repo-level skill rules must be rule-shaped, not incident-shaped. When a confirmed lesson lands in a charliebot repo-level skill, strip the project-internal debug symptoms (specific commit names, error strings, "observed in with "). Write only the underlying rule a future reader can apply ("always parity-check the N=1 wrapper before launching multi-channel runs"). Project-side incident detail belongs in the host skill (surpass / alpha-lab / etc.) or LESSONS.md, not in a repo-level skill that other people may read.
Long Codex-backed worker/reviewer sessions occasionally hit failed to record rollout items: thread <id> not found at the very end of execution. Symptoms:
Master should NOT treat the truncation as failure. Verify final state directly:
git log origin/<base_branch> — confirm the expected commit landedgit ls-remote origin <branch_name> — confirm push happenedIf both confirm, work is done; the truncated chat output is harmless. If commit is missing, follow the usual SIGTERM-stranded-commit recovery (cherry-pick from local task branch, etc.).
When a worker hits a failure on a command that touches real data — cp -r, mv, rm, rsync, dir rename — STOP and ask the user before retrying, switching strategy, or falling back to a workaround. "It probably means X, let me try Y" is exactly when state gets corrupted. The T0 deletion rule (in the memory store's rulings topic) is the floor; this generalizes it: any non-trivial file op on persisted data (model_report dirs, checkpoints, eval npz, datasets) gets the same treatment.
When you find a failure mode that master CC can recover from after-the-fact (e.g. SIGTERM-stranded local commit on an unpushed branch — master can cherry-pick from the local task branch), do NOT add a prescriptive "always do X immediately" rule to the delegation prompt boilerplate. The delegation prompt is for task content, not for offloading reliability work that belongs in the master loop. Fix the master-side recovery path; leave delegation prompts focused on the deliverable.
When writing a delegation that asks the worker to add a unit test or run a verification command, do NOT paste a code snippet you haven't run yourself. Workers copy delegation prompts verbatim, so any typo in the snippet (wrong API name, wrong type assertion, missing import) becomes the worker's debug task. Observed pattern: master spends 30 seconds writing a "helpful" assertion, worker spends 5 minutes figuring out it was wrong.
Better practice — choose one of:
Never include revert/keep-only-report decision rules in delegate prompts — those are improve-loop semantics. The delegate worker's code change IS the artifact regardless of run outcome; failed attempts must still commit. Be specific in the task spec (file paths, function names, acceptance criteria); one task per delegation.
All six ##-level headings are required (## Goal / Source Files / Required Behavior / Acceptance Tests / Reviewer Checklist / Out of Scope); #-level headings are rejected. ## Source Files takes only existing absolute paths or - (new files created by a patch go in a side note instead). The verify task type requires --keep-worktree and does not accept --repo. Run charliebot subcommands inside the session dir — cwd drives session identity.
Validate both red and green states before writing a test or patch into a spec. git archive HEAD | tar -x -C /tmp/<scratch> yields a clean snapshot of tracked files only; edit and run tests there, then confirm the produced patch applies with git apply --check on a second clean snapshot.
Some proxied backends (e.g. an opencode GLM endpoint) cap generation far below the advertised limit.output (~32k real vs 131072 advertised) and spend that budget on reasoning; splitting into smaller tasks leaves the cap in place. Strongest recipe for implementation delegations: store the verified unified diff as a file; hardcode the spec's first line to direct the worker to skip planning and make its first tool call a shell command; Step 1 = git apply <patch>, with verbatim EDIT blocks only as a fallback for apply failure. Delegate mechanical diff/comparison tasks to a master-run script instead — the output cap is absent there. Diagnosis entry: sessions/<id>/threads/<tid>/data/events.jsonl result + usage. Put the main repo venv's absolute path in the spec (worktrees lack a .venv). Cost: the master writes the code and the worker only lands and verifies it — the completion report flags this deviation.
charlie-bot, after a verified worktree change, it is okay to merge back into the main checkout automatically.Propagate repo_path explicitly to every derived/downstream task (review workers, retries, continuations, chained tasks) — pass it from the originating task via ThreadMetadata.repo_path. discover_repos() returns repos in non-deterministic order, so it is only safe at the top-level entry point (user delegation, CLI); downstream tasks read the propagated value instead. This is a recurring bug — always propagate repo_path explicitly.
Session instructions: _build_instructions_content() (master_cc_run.py; master_cc.py is a facade over the master_cc_<part> modules) concatenates prompts/master.md + ~/.charliebot/MASTER_AGENT_PROMPT.md + the assembled memory block on every run_message(). The block is built by src/core/memory.py::assemble_master — full bodies of master-audience entries in resident topics plus a # Memory index header line and index lines for the rest. Each backend writes the result to its own instruction file under the session dir (Claude Code CLAUDE.md, Codex AGENTS.md).
Worker log display: In main chat panel, only show "worker {id} started/ended" with general purpose description. Full logs belong in the worker panel only.
Draft preservation: User's unsubmitted message text is preserved per-session when switching sessions.
Long-running remote command:
charliebot remote-launch --host H --cwd P --cmd '...' — launches the command on H, returns launch_id and host:pid in stdout JSON.charliebot schedule-trigger --watch H:PID --max-wait N --message "..." — verifies PID alive on remote at create time. If the launch died, this exits non-zero — do NOT yield, retry the launch./tmp/charliebot_runs/<launch_id>/log to confirm the output matches expectations. If wrong, ssh H kill PID, investigate, retry.ssh H cat /tmp/charliebot_runs/<launch_id>/sentinel for exit code; pull log if needed; ssh H rm -rf /tmp/charliebot_runs/<launch_id> to clean up remote staging.In normal master usage, do not pass ; cwd supplies it and mismatches with an explicit are rejected. Existing explicit still works for old callers.
charliebot plan (present/amend/approve/close): amend rejects duplicate artifact filenames — each version is a new plan_NN_vK.html. A delivered plan stays open; close covers superseded/abandoned/completed, and approved is the terminal delivery state.
The Claude backend defaults to a 400k window. The working knob is CLAUDE_CODE_AUTO_COMPACT_WINDOW (100k–1M, lowers only: it takes Math.min(model window, set value)); CLAUDE_CODE_MAX_CONTEXT_TOKENS is a no-op for claude-* models in Claude Code 2.1.219. Compaction triggers at window − min(max_output, 20k) − 13k (400k → ~367k; 1M default → ~784k), with an early warmup at 0.8×; overrun compacts silently rather than erroring. charlie-bot side: src/agents/backends/claude_code.py headless_claude_env() — the master path inherits os.environ, but claude_sub.py's tmux respawn-pane -e path passes an allowlist only, so the variable must enter the allowlist for full coverage.
modelUsage may begin with a haiku submodel, and delegated thread cost is omitted.context_compacted.pre_tokens in a session's chat_events.jsonl is the observable ground truth for where auto-compact fires (trigger is approximate, ~0.7% above nominal); use it to validate any displayed ceiling instead of asserting a literal.web/static/js/sidebar/filters.js; the filter pills, switching URLs, and URL restoration all derive from that registry.web/static/js/** or templates: check the exact class name against committed web/static/css/tailwind.css first — text-emerald-400 and text-emerald-400/50 are different selectors and only the suffixed form may exist. Tailwind's content scan token-extracts from comments too, so never write an unused class name even inside a code comment. Verify with tests/test_tailwind_css_build.py (byte-identity of committed vs rebuilt CSS) — -k frontend does NOT match it by test name, so run it explicitly alongside the -k frontend sweep whenever template or JS classes change.The web terminal keeps tmux mouse mode on: tmux-side selection preserves logical lines across soft wraps, while xterm.js native selection under tmux breaks at screen width (tmux repaints line-by-line via CUP), so handing selection to the browser is a net loss. tmux OSC 52 handles payloads of hundreds of KB.
Shared skills live in <charlie-bot-repo>/skills/; host-specific skills live in
~/.charliebot/skills/. Both sync into ~/.claude/skills/.
Skills with user-invocable: false are auto-loaded by CC when contextually relevant.
~/.charliebot/ holds host-specific state (skills, sessions, config, credentials).
On some hosts it may happen to be a local git repo, but its contents are NOT meant to
be committed or pushed — workers must edit files in place and must never git add them
to a ~/.charliebot repo if one exists. Cross-host shared skills go in
<charlie-bot-repo>/skills/ instead.
effective_scheduled_task_backend (src/core/scheduler.py) resolves an omitted cron backend to cfg.backend_options[0].id (positional), so repo-shipped default tasks leave backend unset — the value is a host-local name.sync-skills.sh symlinks skills), so "new default cron tasks need setup rerun" matches existing product rules.A self-hosted VS Code instance running as a web service for browsing code in the browser with full IDE features (syntax highlighting, file tree, search, go-to-definition).
Setup:
Install (one-time, no root needed):
curl -fsSL https://code-server.dev/install.sh | sh -s -- --method standalone
Binary installs to ~/.local/bin/code-server.
Config at ~/.config/code-server/config.yaml:
bind-addr: 0.0.0.0:<PORT>
auth: none
cert: <path-to-tls-cert>
cert-key: <path-to-tls-key>
Port and TLS cert paths are host-specific — see the host topic in the memory store (~/.charliebot/memory/entries/host/) for the current host values.
Start:
~/.local/bin/code-server --disable-telemetry --disable-update-check <default-folder>
Usage:
https://<host>:<port>/?folder=/path/to/dirFeatures: File tree, syntax highlighting, Ctrl+P (quick open), Ctrl+Shift+F (project search), Ctrl+Click (go-to-definition with language extensions), minimap, git diff view.
Note: Not auto-started. Run the start command manually. Process is not managed by CharlieBot.
Compressed archive backups (not git) stored at ~/.charliebot_backup, tiered retention. Manual backup trigger must be independent and must not affect the auto-backup schedule.
Not needed (single-user): SQLite (JSON preferred), worker retry/backoff, worker resource limits, rate limiting. Done: session full-text search, error handling consistency, session rewind. Planned: worker templates as slash commands. Deferred: metrics/observability, multi-repo dashboard, semantic search.
A message beginning [Diff comments · <repo> · <base>..<head> @ <sha>] is a batch of line-anchored review comments on that diff. Numbered entries cite file:line on the stated side at the stated head SHA, and [suggestion] entries contain literal replacement code.
Treat the head branch as the working branch and turn the batch into one delegation by default; quick-edit is a good fit when suggestions dominate. After the changes land, respond to every numbered item as done, deviated with a reason, or a question back, and direct the user to refresh the same /diff link to review again.
Submit with sbatch --parsable (prints only the job id), then watch it. The remote form is the primary one — submit over ssh on a cluster login host and watch with HOST:slurm:; the trigger server does not need slurm installed for the remote form, since sacct runs on the cluster over ssh:
JOBID=$(ssh neptune sbatch --parsable -o ~/slurm_logs/%x-%j.out -e ~/slurm_logs/%x-%j.err train.sbatch)
charliebot schedule-trigger --max-wait 86400 --watch neptune:slurm:"$JOBID" --message "train done"
# Local form (the trigger-server host itself runs slurm):
# JOBID=$(sbatch --parsable -o ~/slurm_logs/%x-%j.out -e ~/slurm_logs/%x-%j.err train.sbatch)
# charliebot schedule-trigger --max-wait 86400 --watch slurm:"$JOBID" --message "train done"
Caveats:
-X reports the allocation and individual array tasks stay invisible to it.ssh neptune true.Keep --message a short label (capped at MAX_TRIGGER_MESSAGE_CHARS): the wake lands back in the same session with full history, so the label only names which watch fired.
The fired message is prefixed with the reason; per-target detail is in the suffix:
[Scheduled trigger fired | completed] <msg> (exited: 12345, host:6789; slurm:91038: COMPLETED 0:0) — all targets finished[Scheduled trigger fired | timeout] <msg> (exited: 12345; still alive: slurm:91039: RUNNING) — --max-wait elapsed[Scheduled trigger fired | timeout] <msg> (still alive: neptune:slurm:122111 (unreachable 18m: ssh timeout after 60.0s)) — the remote host stopped answering sacct, leaving the job's true state unknowncompleted means all targets finished; success/failure is in the suffix (a SLURM FAILED 2:0 is a failed job).
~/.charliebot/config.d/cron.d/<name>.yaml, and the loader hot-reloads on a file or prompt_file mtime change — no restart is needed. A broken file yields an error entry for that job alone (logged as cron_task_load_failed) while every other job keeps loading, scheduling, and rendering through GET /api/cron/tasks.America/Los_Angeles explicitly for local tasks. Reread config.d/cron.d/ at implementation time — concurrent sessions may mutate it.If you don't understand how a feature works, read the source code at ~/workspace/charlie-bot/src/core/. Key files:
| Feature | Source file |
|---|---|
| Improve loop | improve_command.py |
| Spawner + review | spawner.py |
| Slash commands | slash_commands.py |
| Backlog state machine | backlog_loop.py |
| Scheduler | scheduler.py |
| Delayed triggers | triggers.py |
| Sessions | sessions.py |
| Config | config.py |
Never guess how CharlieBot works — the source code is always available.
--session--session--sessionConstraints: wrapped cmd must run in foreground (no detached & inside --cmd). For parallel jobs, call charliebot remote-launch N times. The wrapper log captures stdout/stderr only — if the cmd internally redirects output to its own log path (e.g. /storage/...), that file is the source of truth and the wrapper log will be near-empty. For sub-2-minute commands, just ssh host 'cmd' synchronously instead — the launch+trigger overhead is not worth it.
One trigger watches many targets — a single trigger covers every parallel job. When master is waiting on N parallel runs, pass all targets to one charliebot schedule-trigger --watch <spec> <spec> ... where each spec self-describes its kind (PID, host:pid, slurm:jobid, host:slurm:jobid) and kinds may be freely mixed. The trigger fires when ALL listed targets have finished or --max-wait elapses. Spawning N triggers wastes the trigger machinery and produces N wake-ups for one logical event.