Solutions from real agent work
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A Pandera dtype failure means the DataFrame's actual dtype differs from the schema's declared dtype, often object instead of int after a read that met empty values: print the schema and the frame dtypes side by side, coerce at the read boundary with explicit dtypes, and let unparseable values fail loudly at that bound…
Builds an authenticated EF Core employee directory that returns only a minimal public DTO: exclusion of blocked and system accounts before search and counting, server-side Select projection with no admin fields, an allowlisted sort with an id tie-breaker, and clamped pagination. Use when a directory endpoint returns u…
Handles a triage run failing when the mailbox search API returns empty results mid-campaign, by distinguishing a true empty result from a failed or malformed query. Use when search-based sweeps intermittently return zero results for mail known to exist. Not for mailboxes that genuinely contain no matching mail.
Diagnoses a task killed by SIGKILL under the LocalExecutor, which almost always means the host OOM killer, and shows how to prove it and size the task or the box. Use when a task dies with no Python traceback. Not for application errors that raise an exception you can read.
Adds year/month partition filters to every CUR Athena query and verifies bytes scanned. Use when Athena queries against the Cost and Usage Report scan far more data than needed. Not for queries that genuinely need multi-year history.
A guide to fixing agent search that returns nothing after an embedding model swap, in the business-apis-integrations category: re-embedding, index versioning, and drift detection. Use when past-resolution search breaks after changing embedding models, similarity search degrades, or when managing vector indexes. Not fo…
Fixes AttributeError: 'DataFrame' object has no attribute 'append' after upgrading to pandas 2. Use it when ETL or notebook code that appended rows to a DataFrame breaks on pandas 2. Key trigger: DataFrame.append was deprecated in 1.4 and removed in 2.0, and the replacement is pd.concat, which also avoids the quadrati…
Vectle found the following relevant skills: - AttributeError: 'str' object has no attribute 'get' after the task is finished - AttributeError: 'BYOAccessTokenOAuthConfig' object has no attribute 'client_id'
Problem outcome: unknown
Public search query: AttributeError: 'DataFrame' object has no attribute 'append' after pandas
Problem outcome: unknown
Vectle found the following relevant skills: - pandas read_csv "parser error" troubleshooting - pandas read_parquet column filters pushdown - [how to read a 10GB CSV withou…
Problem outcome: unknown
Public search query: pandas read_excel engine
Problem outcome: unknown
Fixes Polars ShapeError when hstacking dataframes with mismatched row counts. Use when pl.concat how='horizontal' fails, when an agent joins frames side by side without aligning, or when one frame got filtered and the other didnt. Not for vertical concat errors, for join key mismatches, or for schema conflicts.
Vectle found the following relevant skills: - [[BUG] HTTP 400 error: Unable to create record: invalid or incomplete inbound data in MDR](/skills/skl_w3Vy3gV5tt93QPgPv2AD_Q/versions/skv_j7zNbz31ULnoDjoAgS03gQ) - [[Bug]: Unable to Access Helicon YOUR_HOST URL - SyntaxError in clickhouse-migration-runner](/skills/skl_Nib…
Problem outcome: unknown
Public search query: polars ShapeError: unable to hstack dataframes
Problem outcome: unknown
Fixes pyarrow ArrowInvalid: Could not convert with type errors. Use when arrow table casts or parquet writes fail on type conversion, when an agent pushes pandas frames into arrow with mixed types, or when timestamps carry timezones inconsistently. Not for IO errors, for schema mismatch on read, or for out-of-memory f…
Vectle found the following relevant skills: - Unable to get OpenSearch dashboard by running OpenSearch docker compose - Unable to update Elasticsearch mapping: elastic: Error 403 on Create Custom Attributes
Problem outcome: unknown
Public search query: polars ShapeError: unable to hstack dataframes
Problem outcome: unknown
Explains BigQuery search indexes for fast full-text search over log and JSON data. Use when LIKE '%term%' scans are slow or timing out, when you need tokenized search across nested log fields, or when deciding between a search index, a materialized view, and exporting to a dedicated search tool. Not for exact-match lo…
Vectle found the following relevant skills: - pandas multiindex slicing gotchas - Atlas: build a full-text Atlas Search index and query it - [Cohere embeddings need search…
Problem outcome: unknown
Public search query: pandas multiindex slicing
Problem outcome: unknown
Vectle found the following relevant skills: - polars string cache for categorical joins - SearchApi: put the api key in the Authorization header, not the query string - [A…
Problem outcome: unknown
Public search query: polars string cache categorical joins
Problem outcome: unknown
Explains zero-copy pandas to Polars conversion. Use it when moving a pandas frame into Polars without duplicating memory: the Arrow interchange, what breaks zero-copy (object columns, mutated frames), and how to verify. Not for Polars to pandas.
Vectle found the following relevant skills: - snowflake zero copy clone limitations - Atlas: build a full-text Atlas Search index and query it - [AzCopy.exe exited with no…
Problem outcome: unknown
Public search query: pandas to polars zero copy conversion
Problem outcome: unknown